From 99da02485b1b0bd17bf4ac3f1952fc1ed6ad8b2a Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sat, 14 May 2022 01:42:21 +0800 Subject: [PATCH 01/21] perf args --- args.py | 19 ++++++ main.py | 95 ++++++++++++++------------ models.py | 14 ++++ test.py | 197 +++++++++++++++++++++++++++++++++++++++++++++++------- 4 files changed, 261 insertions(+), 64 deletions(-) create mode 100644 args.py diff --git a/args.py b/args.py new file mode 100644 index 0000000..b256ea1 --- /dev/null +++ b/args.py @@ -0,0 +1,19 @@ +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument('--debug', action='store_true') +parser.add_argument('--extend_movement', type=float) +parser.add_argument('--input', type=str, default='cam') +parser.add_argument('--character', type=str, default='y') +parser.add_argument('--output_dir', type=str) +parser.add_argument('--output_webcam', type=str) +parser.add_argument('--output_size', type=str, default='256x256') +parser.add_argument('--debug_input', action='store_true') +parser.add_argument('--perf', action='store_true') +parser.add_argument('--skip_model', action='store_true') +parser.add_argument('--ifm', type=str) +parser.add_argument('--anime4k', action='store_true') +args = parser.parse_args() +args.output_w = int(args.output_size.split('x')[0]) +args.output_h = int(args.output_size.split('x')[1]) +if args.output_webcam is None and args.output_dir is None: args.debug = True \ No newline at end of file diff --git a/main.py b/main.py index 6608641..b01e4cb 100644 --- a/main.py +++ b/main.py @@ -1,5 +1,3 @@ -import argparse - import cv2 import torch import pyvirtualcam @@ -26,21 +24,7 @@ from pyanime4k import ac from tha2.mocap.ifacialmocap_constants import * -parser = argparse.ArgumentParser() -parser.add_argument('--debug', action='store_true') -parser.add_argument('--extend_movement', type=float) -parser.add_argument('--input', type=str, default='cam') -parser.add_argument('--character', type=str, default='y') -parser.add_argument('--output_dir', type=str) -parser.add_argument('--output_webcam', type=str) -parser.add_argument('--output_size', type=str, default='256x256') -parser.add_argument('--debug_input', action='store_true') -parser.add_argument('--ifm', type=str) -parser.add_argument('--anime4k', action='store_true') -args = parser.parse_args() -args.output_w = int(args.output_size.split('x')[0]) -args.output_h = int(args.output_size.split('x')[1]) -if args.output_webcam is None and args.output_dir is None: args.debug = True +from args import args device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') @@ -150,10 +134,12 @@ class ClientProcess(Process): @torch.no_grad() def main(): - model = TalkingAnimeLight().to(device) - model = model.eval() - model = model - print("Pretrained Model Loaded") + model = None + if not args.skip_model: + model = TalkingAnimeLight().to(device) + model = model.eval() + model = model + print("Pretrained Model Loaded") img = Image.open(f"character/{args.character}.png") wRatio = img.size[0] / 256 img = img.resize((256, int(img.size[1] / wRatio))) @@ -235,7 +221,7 @@ def main(): pose_queue = [] blender_data = create_default_blender_data() - tic=0 + tic1 = 0 print("Ready. Close this console to exit.") @@ -244,21 +230,24 @@ def main(): # input_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # results = facemesh.process(input_frame) + if args.perf: + print('===') + tic = time.perf_counter() if args.debug_input: mouth_eye_vector[0, :] = 0 pose_vector[0, :] = 0 - mouth_eye_vector[0, 2] = math.sin(time.perf_counter()*3) - mouth_eye_vector[0, 3] = math.sin(time.perf_counter()*3) + mouth_eye_vector[0, 2] = math.sin(time.perf_counter() * 3) + mouth_eye_vector[0, 3] = math.sin(time.perf_counter() * 3) mouth_eye_vector[0, 14] = 0 - mouth_eye_vector[0, 25] = math.sin(time.perf_counter()*2.2)*0.2 - mouth_eye_vector[0, 26] = math.sin(time.perf_counter()*3.5)*0.8 + mouth_eye_vector[0, 25] = math.sin(time.perf_counter() * 2.2) * 0.2 + mouth_eye_vector[0, 26] = math.sin(time.perf_counter() * 3.5) * 0.8 - pose_vector[0, 0] = math.sin(time.perf_counter()*1.1) - pose_vector[0, 1] = math.sin(time.perf_counter()*1.2) - pose_vector[0, 2] = math.sin(time.perf_counter()*1.5) + pose_vector[0, 0] = math.sin(time.perf_counter() * 1.1) + pose_vector[0, 1] = math.sin(time.perf_counter() * 1.2) + pose_vector[0, 2] = math.sin(time.perf_counter() * 1.5) elif args.ifm is not None: @@ -346,16 +335,32 @@ def main(): pose_vector[0, 0] = (x_angle - 1.5) * 1.6 pose_vector[0, 1] = y_angle * 2.0 # temp weight pose_vector[0, 2] = (z_angle + 1.5) * 2 # temp weight - - output_image = model(input_image, mouth_eye_vector, pose_vector) - postprocessed_image = postprocessing_image(output_image.cpu()) + if args.perf: + print("input", time.perf_counter() - tic) + tic = time.perf_counter() + if model is None: + output_image=input_image + else: + output_image = model(input_image, mouth_eye_vector, pose_vector) + if args.perf: + torch.cuda.synchronize() + print("model", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + postprocessed_image = output_image.cpu() + if args.perf: + print("cpu()", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + postprocessed_image = postprocessing_image(postprocessed_image) + if args.perf: + print("postprocess", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() if extra_image is not None: postprocessed_image = cv2.vconcat([postprocessed_image, extra_image]) - k_scale=1 - rotate_angle=0 - dx=0 - dy=0 + k_scale = 1 + rotate_angle = 0 + dx = 0 + dy = 0 if args.extend_movement is not None: k_scale = position_vector[2] * math.sqrt(args.extend_movement) + 1 rotate_angle = -position_vector[0] * 40 * args.extend_movement @@ -370,6 +375,10 @@ def main(): rm, (args.output_w, args.output_h)) + if args.perf: + print("extendmovement", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + if args.anime4k: alpha_channel = postprocessed_image[:, :, 3] alpha_channel = cv2.resize(alpha_channel, None, fx=2, fy=2) @@ -383,15 +392,17 @@ def main(): postprocessed_image = a.save_image_to_numpy() postprocessed_image = cv2.merge((postprocessed_image, alpha_channel)) postprocessed_image = cv2.cvtColor(postprocessed_image, cv2.COLOR_BGRA2RGBA) - + if args.perf: + print("anime4k", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() if args.debug: output_frame = cv2.cvtColor(postprocessed_image, cv2.COLOR_RGBA2BGRA) # resized_frame = cv2.resize(output_frame, (np.min(debug_image.shape[:2]), np.min(debug_image.shape[:2]))) # output_frame = np.concatenate([debug_image, resized_frame], axis=1) toc = time.perf_counter() - fps = 1 / (toc - tic) - tic = toc - cv2.putText(output_frame, str('%.1f' % fps),(0,16),cv2.FONT_HERSHEY_PLAIN,1,(0,255,0),1) + fps = 1 / (toc - tic1) + tic1 = toc + cv2.putText(output_frame, str('%.1f' % fps), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) cv2.imshow("frame", output_frame) # cv2.imshow("camera", debug_image) cv2.waitKey(1) @@ -404,7 +415,9 @@ def main(): result_image = cv2.cvtColor(result_image, cv2.COLOR_RGBA2RGB) cam.send(result_image) cam.sleep_until_next_frame() - + if args.perf: + print("output", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() if __name__ == '__main__': diff --git a/models.py b/models.py index bc17477..e7bcf07 100644 --- a/models.py +++ b/models.py @@ -1,7 +1,10 @@ +import time + import torch.nn as nn from tha2.poser.modes.mode_20 import load_face_morpher, load_face_rotater, load_combiner +from args import args class TalkingAnimeLight(nn.Module): def __init__(self): @@ -12,10 +15,21 @@ class TalkingAnimeLight(nn.Module): def forward(self, image, mouth_eye_vector, pose_vector): x = image.clone() + if args.perf: + tic=time.perf_counter() mouth_eye_morp_image = self.face_morpher(image[:, :, 32:224, 32:224], mouth_eye_vector) + if args.perf: + print(" - face_morpher",(time.perf_counter()-tic)*1000) + tic=time.perf_counter() x[:, :, 32:224, 32:224] = mouth_eye_morp_image rotate_image = self.two_algo_face_rotator(x, pose_vector)[:2] + if args.perf: + print(" - rotator",(time.perf_counter()-tic)*1000) + tic=time.perf_counter() output_image = self.combiner(rotate_image[0], rotate_image[1], pose_vector) + if args.perf: + print(" - combiner",(time.perf_counter()-tic)*1000) + tic=time.perf_counter() return output_image diff --git a/test.py b/test.py index 51e7d3f..da42f49 100644 --- a/test.py +++ b/test.py @@ -1,27 +1,65 @@ -from pyanime4k import ac -import pyanime4k - -parameters = ac.Parameters() -# enable HDN for ACNet -parameters.HDN = True - -a = ac.AC( - type=ac.ProcessorType.CPU_ACNet, -) -a.set_arguments(parameters) +# from pyanime4k import ac +# import pyanime4k +# +# parameters = ac.Parameters() +# # enable HDN for ACNet +# parameters.HDN = True +# +# a = ac.AC( +# type=ac.ProcessorType.CPU_ACNet, +# ) +# a.set_arguments(parameters) import cv2 +# +# img = cv2.imread("character/test41.png") +# +# a.load_image_from_numpy(img,input_type=ac.AC_INPUT_BGR) +# +# a.get_processor_info() +# +# # start processing +# a.process() +# +# a.show_image() -img = cv2.imread("character/test41.png") - -a.load_image_from_numpy(img,input_type=ac.AC_INPUT_BGR) - -a.get_processor_info() - -# start processing -a.process() - -a.show_image() - +# import numpy as np +# import zlib +# import bz2 +# import lzma +# import time +# +# postprocessed_image=np.load('out.npy') +# tic=time.perf_counter() +# res=None +# for i in range(100): +# res=zlib.compress(postprocessed_image) +# print("zlib", len(res),(time.perf_counter() - tic) * 1000) +# tic = time.perf_counter() +# for i in range(100): +# zlib.decompress(res) +# print("zlib", len(res),(time.perf_counter() - tic) * 1000) +# tic = time.perf_counter() +# for i in range(100): +# res=bz2.compress(postprocessed_image) +# print("bz2",len(res), (time.perf_counter() - tic) * 1000) +# tic = time.perf_counter() +# for i in range(100): +# bz2.decompress(res) +# print("bz2", len(res),(time.perf_counter() - tic) * 1000) +# tic = time.perf_counter() +# for i in range(100): +# res=lzma.compress(postprocessed_image) +# print("lzma",len(res), (time.perf_counter() - tic) * 1000) +# tic = time.perf_counter() +# for i in range(100): +# lzma.decompress(res) +# print("lzma", len(res),(time.perf_counter() - tic) * 1000) +# tic = time.perf_counter() +# +# +# output_frame = cv2.cvtColor(postprocessed_image, cv2.COLOR_RGBA2BGRA) +# cv2.imshow("frame", output_frame) +# cv2.waitKey(100000) # preview upscaled image # img=a.save_image_to_numpy() # @@ -42,4 +80,117 @@ a.show_image() # [1,2,3,4], # ] # -# print(cv2.merge((np.array(rgb),np.array(a)))) \ No newline at end of file +# print(cv2.merge((np.array(rgb),np.array(a)))) + + +from multiprocessing import Value, Process, Queue +import queue +import socket +import errno +import time +import tha2.poser.modes.mode_20_wx +from tha2.mocap.ifacialmocap_constants import * + +ifm='192.168.31.182:49983' + + + +class ClientProcess(Process): + def __init__(self): + super().__init__() + self.queue = Queue() + self.should_terminate = Value('b', False) + self.address = ifm.split(':')[0] + self.port = int(ifm.split(':')[1]) + self.perf_time = 0 + self.ifm_converter = tha2.poser.modes.mode_20_wx.create_ifacialmocap_pose_converter() + self.a_min=None + self.a_max=None + + def run(self): + + udpClntSock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) + + data = "iFacialMocap_sahuasouryya9218sauhuiayeta91555dy3719" + + data = data.encode('utf-8') + + udpClntSock.sendto(data, (self.address, self.port)) + + self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) + self.socket.setblocking(False) + self.socket.bind(("", self.port)) + self.socket.settimeout(0.1) + while True: + if self.should_terminate.value: + break + try: + socket_bytes = self.socket.recv(8192) + except socket.error as e: + err = e.args[0] + if err == errno.EAGAIN or err == errno.EWOULDBLOCK or err == 'timed out': + continue + else: + raise e + socket_string = socket_bytes.decode("utf-8") + # print(socket_string) + + # blender_data = json.loads(socket_string) + data = self.convert_from_blender_data(socket_string) + data=self.ifm_converter.convert(data) + # print(data) + if(self.a_max is None): + self.a_max=[x for x in data] + else: + self.a_max=[max(data[i],self.a_max[i]) for i in range(len(data))] + if(self.a_min is None): + self.a_min=[x for x in data] + else: + self.a_min=[min(data[i],self.a_min[i]) for i in range(len(data))] + print([[self.a_min[i],self.a_max[i]] for i in range(len(data))]) + cur_time = time.perf_counter() + fps = 1 / (cur_time - self.perf_time) + self.perf_time = cur_time + # print(fps) + try: + self.queue.put_nowait(data) + except queue.Full: + pass + self.queue.close() + self.socket.close() + @staticmethod + def convert_from_blender_data(blender_data): + data = {} + + for item in blender_data.split('|'): + if item.find('#') != -1: + k, arr = item.split('#') + arr = [float(n) for n in arr.split(',')] + data[k.replace("_L", "Left").replace("_R", "Right")] = arr + elif item.find('-') != -1: + k, v = item.split("-") + data[k.replace("_L", "Left").replace("_R", "Right")] = float(v) / 100 + + to_rad = 57.3 + data[HEAD_BONE_X] = data["=head"][0] / to_rad + data[HEAD_BONE_Y] = data["=head"][1] / to_rad + data[HEAD_BONE_Z] = data["=head"][2] / to_rad + data[HEAD_BONE_QUAT] = [data["=head"][3], data["=head"][4], data["=head"][5], 1] + # print(data[HEAD_BONE_QUAT][2],min(data[EYE_BLINK_LEFT],data[EYE_BLINK_RIGHT])) + data[RIGHT_EYE_BONE_X] = data["rightEye"][0] / to_rad + data[RIGHT_EYE_BONE_Y] = data["rightEye"][1] / to_rad + data[RIGHT_EYE_BONE_Z] = data["rightEye"][2] / to_rad + data[LEFT_EYE_BONE_X] = data["leftEye"][0] / to_rad + data[LEFT_EYE_BONE_Y] = data["leftEye"][1] / to_rad + data[LEFT_EYE_BONE_Z] = data["leftEye"][2] / to_rad + + return data + + +if __name__ == '__main__': + client_process = ClientProcess() + client_process.daemon = True + client_process.start() + + while True: + pass \ No newline at end of file From 0e0ffc88f360b736be5225f4412fc7058dee9e00 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sat, 14 May 2022 06:44:20 +0800 Subject: [PATCH 02/21] test something --- main.py | 92 ++++++++++++++++++++++++++++++++++++++++----------------- 1 file changed, 65 insertions(+), 27 deletions(-) diff --git a/main.py b/main.py index b01e4cb..fa1cf75 100644 --- a/main.py +++ b/main.py @@ -17,6 +17,7 @@ import queue import socket import time import math +from collections import OrderedDict from multiprocessing import Value, Process, Queue import pyanime4k @@ -26,7 +27,7 @@ from tha2.mocap.ifacialmocap_constants import * from args import args -device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') +device = torch.device('cuda') if torch.cuda.is_available() and not args.skip_model else torch.device('cpu') def create_default_blender_data(): @@ -53,7 +54,7 @@ def create_default_blender_data(): return data -class ClientProcess(Process): +class IFMClientProcess(Process): def __init__(self): super().__init__() self.queue = Queue() @@ -156,7 +157,7 @@ def main(): if not args.debug_input: if args.ifm is not None: - client_process = ClientProcess() + client_process = IFMClientProcess() client_process.daemon = True client_process.start() ifm_converter = tha2.poser.modes.mode_20_wx.create_ifacialmocap_pose_converter() @@ -209,6 +210,8 @@ def main(): mouth_eye_vector = torch.empty(1, 27) pose_vector = torch.empty(1, 3) + mouth_eye_vector_c = [0.0]*27 + pose_vector_c = [0.0]*3 # input_image = input_image.half() # mouth_eye_vector = mouth_eye_vector.half() @@ -223,6 +226,13 @@ def main(): blender_data = create_default_blender_data() tic1 = 0 + vector_hash=None + prev_hash=None + changed_count=0 + missed_count=0 + tot_count=0 + model_cache=OrderedDict() + print("Ready. Close this console to exit.") while True: @@ -234,20 +244,21 @@ def main(): print('===') tic = time.perf_counter() if args.debug_input: - mouth_eye_vector[0, :] = 0 - pose_vector[0, :] = 0 + mouth_eye_vector_c = [0.0]*27 + pose_vector_c = [0.0]*3 - mouth_eye_vector[0, 2] = math.sin(time.perf_counter() * 3) - mouth_eye_vector[0, 3] = math.sin(time.perf_counter() * 3) + mouth_eye_vector_c[2] = math.sin(time.perf_counter() * 3) + mouth_eye_vector_c[3] = math.sin(time.perf_counter() * 3) - mouth_eye_vector[0, 14] = 0 + mouth_eye_vector_c[14] = 0 - mouth_eye_vector[0, 25] = math.sin(time.perf_counter() * 2.2) * 0.2 - mouth_eye_vector[0, 26] = math.sin(time.perf_counter() * 3.5) * 0.8 + mouth_eye_vector_c[25] = math.sin(time.perf_counter() * 2.2) * 0.2 + mouth_eye_vector_c[26] = math.sin(time.perf_counter() * 3.5) * 0.8 + + pose_vector_c[0] = math.sin(time.perf_counter() * 1.1) + pose_vector_c[1] = math.sin(time.perf_counter() * 1.2) + pose_vector_c[2] = math.sin(time.perf_counter() * 1.5) - pose_vector[0, 0] = math.sin(time.perf_counter() * 1.1) - pose_vector[0, 1] = math.sin(time.perf_counter() * 1.2) - pose_vector[0, 2] = math.sin(time.perf_counter() * 1.5) elif args.ifm is not None: @@ -258,7 +269,7 @@ def main(): new_blender_data = client_process.queue.get_nowait() blender_data = new_blender_data except queue.Empty: - pass + continue ifacialmocap_pose_converted = ifm_converter.convert(blender_data) @@ -281,11 +292,15 @@ def main(): # - ifacialmocap_pose[EYE_LOOK_DOWN_RIGHT] # + ifacialmocap_pose[EYE_LOOK_DOWN_LEFT]) / 2.0 / 0.75 - position_vector = blender_data[HEAD_BONE_QUAT] + mouth_eye_vector_c = [0.0]*27 + pose_vector_c = [0.0]*3 for i in range(12, 39): - mouth_eye_vector[0, i - 12] = ifacialmocap_pose_converted[i] + mouth_eye_vector_c[i - 12] = ifacialmocap_pose_converted[i] for i in range(39, 42): - pose_vector[0, i - 39] = ifacialmocap_pose_converted[i] + pose_vector_c[i - 39] = ifacialmocap_pose_converted[i] + + position_vector = blender_data[HEAD_BONE_QUAT] + else: ret, frame = cap.read() @@ -321,23 +336,45 @@ def main(): y_angle = np_pose[6] z_angle = np_pose[7] - mouth_eye_vector[0, :] = 0 - pose_vector[0, :] = 0 + mouth_eye_vector_c = [0.0] * 27 + pose_vector_c = [0.0] * 3 - mouth_eye_vector[0, 2] = eye_l_h_temp - mouth_eye_vector[0, 3] = eye_r_h_temp + mouth_eye_vector_c[2] = eye_l_h_temp + mouth_eye_vector_c[3] = eye_r_h_temp - mouth_eye_vector[0, 14] = mouth_ratio * 1.5 + mouth_eye_vector_c[14] = mouth_ratio * 1.5 - mouth_eye_vector[0, 25] = eye_y_ratio - mouth_eye_vector[0, 26] = eye_x_ratio + mouth_eye_vector_c[25] = eye_y_ratio + mouth_eye_vector_c[26] = eye_x_ratio + + pose_vector_c[0] = (x_angle - 1.5) * 1.6 + pose_vector_c[1] = y_angle * 2.0 # temp weight + pose_vector_c[2] = (z_angle + 1.5) * 2 # temp weight - pose_vector[0, 0] = (x_angle - 1.5) * 1.6 - pose_vector[0, 1] = y_angle * 2.0 # temp weight - pose_vector[0, 2] = (z_angle + 1.5) * 2 # temp weight if args.perf: print("input", time.perf_counter() - tic) tic = time.perf_counter() + + hash_arr=mouth_eye_vector_c + hash_arr.extend(pose_vector_c) + vector_hash=hash(tuple(hash_arr)) + tot_count+=1 + if vector_hash==prev_hash: continue + # print("hash", vector_hash) + if vector_hash!=prev_hash: changed_count+=1 + prev_hash=vector_hash + if model_cache.get(vector_hash) is None: + model_cache[vector_hash]=True + missed_count+=1 + # + # print('changed ratio',changed_count/tot_count*100) + # print('missed ratio',missed_count/tot_count*100) + + for i in range(27): + mouth_eye_vector[0,i]=mouth_eye_vector_c[i] + for i in range(3): + pose_vector[0,i]=pose_vector_c[i] + torch.cuda.synchronize() if model is None: output_image=input_image else: @@ -403,6 +440,7 @@ def main(): fps = 1 / (toc - tic1) tic1 = toc cv2.putText(output_frame, str('%.1f' % fps), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + # cv2.putText(output_frame, str('%.1f' % (missed_count/changed_count*100)), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) cv2.imshow("frame", output_frame) # cv2.imshow("camera", debug_image) cv2.waitKey(1) From a9f085ba23b57976670e332bbad80b8212168a1e Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sat, 14 May 2022 20:47:00 +0800 Subject: [PATCH 03/21] split render and extend+output --- main.py | 158 +++++++++++++++++++++++++++++++++++--------------------- 1 file changed, 98 insertions(+), 60 deletions(-) diff --git a/main.py b/main.py index fa1cf75..6e10749 100644 --- a/main.py +++ b/main.py @@ -90,7 +90,6 @@ class IFMClientProcess(Process): raise e socket_string = socket_bytes.decode("utf-8") # print(socket_string) - # blender_data = json.loads(socket_string) data = self.convert_from_blender_data(socket_string) # cur_time = time.perf_counter() @@ -133,14 +132,69 @@ class IFMClientProcess(Process): return data +class ModelClientProcess(Process): + def __init__(self, input_image): + super().__init__() + self.should_terminate = Value('b', False) + self.updated=Value('b', False) + self.data = None + self.input_image = input_image + self.output_queue=Queue() + self.input_queue=Queue() + + def run(self): + model = None + if not args.skip_model: + model = TalkingAnimeLight().to(device) + model = model.eval() + model = model + print("Pretrained Model Loaded") + + mouth_eye_vector = torch.empty(1, 27) + pose_vector = torch.empty(1, 3) + + input_image = self.input_image.to(device) + mouth_eye_vector = mouth_eye_vector.to(device) + pose_vector = pose_vector.to(device) + + while True: + input = None + try: + while not self.input_queue.empty(): + input = self.input_queue.get_nowait() + except queue.Empty: + continue + if input is None: continue + + for i in range(27): + mouth_eye_vector[0, i] = input[i] + for i in range(3): + pose_vector[0, i] = input[i+27] + if model is None: + output_image = input_image + else: + output_image = model(input_image, mouth_eye_vector, pose_vector) + if args.perf: + torch.cuda.synchronize() + print("model", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + postprocessed_image = output_image.cpu() + if args.perf: + print("cpu()", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + postprocessed_image = postprocessing_image(postprocessed_image) + if args.perf: + print("postprocess", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + + self.output_queue.put_nowait(postprocessed_image) + + + + + @torch.no_grad() def main(): - model = None - if not args.skip_model: - model = TalkingAnimeLight().to(device) - model = model.eval() - model = model - print("Pretrained Model Loaded") img = Image.open(f"character/{args.character}.png") wRatio = img.size[0] / 256 img = img.resize((256, int(img.size[1] / wRatio))) @@ -182,7 +236,7 @@ def main(): cam_scale = 1 if args.anime4k: cam_scale = 2 - cam = pyvirtualcam.Camera(width=args.output_w * cam_scale, height=args.output_h * cam_scale, fps=30, + cam = pyvirtualcam.Camera(width=args.output_w * cam_scale, height=args.output_h * cam_scale, fps=60, backend=args.output_webcam, fmt= {'unitycapture': pyvirtualcam.PixelFormat.RGBA, 'obs': pyvirtualcam.PixelFormat.RGB}[ @@ -208,30 +262,23 @@ def main(): a.set_arguments(parameters) print("Anime4K Loaded") - mouth_eye_vector = torch.empty(1, 27) - pose_vector = torch.empty(1, 3) - mouth_eye_vector_c = [0.0]*27 - pose_vector_c = [0.0]*3 - - # input_image = input_image.half() - # mouth_eye_vector = mouth_eye_vector.half() - # pose_vector = pose_vector.half() - - input_image = input_image.to(device) - mouth_eye_vector = mouth_eye_vector.to(device) - pose_vector = pose_vector.to(device) position_vector = [0, 0, 0, 1] pose_queue = [] blender_data = create_default_blender_data() tic1 = 0 - vector_hash=None - prev_hash=None - changed_count=0 - missed_count=0 - tot_count=0 - model_cache=OrderedDict() + model_output=None + model_process=ModelClientProcess(input_image) + model_process.daemon = True + model_process.start() + + vector_hash = None + prev_hash = None + changed_count = 0 + missed_count = 0 + tot_count = 0 + model_cache = OrderedDict() print("Ready. Close this console to exit.") @@ -244,8 +291,8 @@ def main(): print('===') tic = time.perf_counter() if args.debug_input: - mouth_eye_vector_c = [0.0]*27 - pose_vector_c = [0.0]*3 + mouth_eye_vector_c = [0.0] * 27 + pose_vector_c = [0.0] * 3 mouth_eye_vector_c[2] = math.sin(time.perf_counter() * 3) mouth_eye_vector_c[3] = math.sin(time.perf_counter() * 3) @@ -292,8 +339,8 @@ def main(): # - ifacialmocap_pose[EYE_LOOK_DOWN_RIGHT] # + ifacialmocap_pose[EYE_LOOK_DOWN_LEFT]) / 2.0 / 0.75 - mouth_eye_vector_c = [0.0]*27 - pose_vector_c = [0.0]*3 + mouth_eye_vector_c = [0.0] * 27 + pose_vector_c = [0.0] * 3 for i in range(12, 39): mouth_eye_vector_c[i - 12] = ifacialmocap_pose_converted[i] for i in range(39, 42): @@ -355,42 +402,33 @@ def main(): print("input", time.perf_counter() - tic) tic = time.perf_counter() - hash_arr=mouth_eye_vector_c - hash_arr.extend(pose_vector_c) - vector_hash=hash(tuple(hash_arr)) - tot_count+=1 - if vector_hash==prev_hash: continue + model_input_arr = mouth_eye_vector_c + model_input_arr.extend(pose_vector_c) + vector_hash = hash(tuple(model_input_arr)) + tot_count += 1 + if vector_hash == prev_hash: continue # print("hash", vector_hash) - if vector_hash!=prev_hash: changed_count+=1 - prev_hash=vector_hash + if vector_hash != prev_hash: changed_count += 1 + prev_hash = vector_hash if model_cache.get(vector_hash) is None: - model_cache[vector_hash]=True - missed_count+=1 + model_cache[vector_hash] = True + missed_count += 1 # # print('changed ratio',changed_count/tot_count*100) # print('missed ratio',missed_count/tot_count*100) - for i in range(27): - mouth_eye_vector[0,i]=mouth_eye_vector_c[i] - for i in range(3): - pose_vector[0,i]=pose_vector_c[i] - torch.cuda.synchronize() - if model is None: - output_image=input_image - else: - output_image = model(input_image, mouth_eye_vector, pose_vector) - if args.perf: - torch.cuda.synchronize() - print("model", (time.perf_counter() - tic) * 1000) - tic = time.perf_counter() - postprocessed_image = output_image.cpu() - if args.perf: - print("cpu()", (time.perf_counter() - tic) * 1000) - tic = time.perf_counter() - postprocessed_image = postprocessing_image(postprocessed_image) - if args.perf: - print("postprocess", (time.perf_counter() - tic) * 1000) - tic = time.perf_counter() + model_process.input_queue.put_nowait(model_input_arr) + + try: + new_model_output = model_output + while not model_process.output_queue.empty(): + new_model_output = model_process.output_queue.get_nowait() + model_output = new_model_output + except queue.Empty: + pass + if model_output is None: continue + postprocessed_image=model_output + if extra_image is not None: postprocessed_image = cv2.vconcat([postprocessed_image, extra_image]) From bc8f44f290ea265c83be2cc37b255dfce003f3a7 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sat, 14 May 2022 23:52:07 +0800 Subject: [PATCH 04/21] --alpha_split --- args.py | 1 + main.py | 31 +++++++++++++++++++------- obs_shader/merge alpha2.hlsl | 43 ++++++++++++++++++++++++++++++++++++ 3 files changed, 67 insertions(+), 8 deletions(-) create mode 100644 obs_shader/merge alpha2.hlsl diff --git a/args.py b/args.py index b256ea1..81e073d 100644 --- a/args.py +++ b/args.py @@ -13,6 +13,7 @@ parser.add_argument('--perf', action='store_true') parser.add_argument('--skip_model', action='store_true') parser.add_argument('--ifm', type=str) parser.add_argument('--anime4k', action='store_true') +parser.add_argument('--alpha_split', action='store_true') args = parser.parse_args() args.output_w = int(args.output_size.split('x')[0]) args.output_h = int(args.output_size.split('x')[1]) diff --git a/main.py b/main.py index 6e10749..46e76e1 100644 --- a/main.py +++ b/main.py @@ -166,6 +166,8 @@ class ModelClientProcess(Process): continue if input is None: continue + if args.perf: + tic = time.perf_counter() for i in range(27): mouth_eye_vector[0, i] = input[i] for i in range(3): @@ -234,9 +236,12 @@ def main(): if args.output_webcam: cam_scale = 1 + cam_width_scale=1 if args.anime4k: cam_scale = 2 - cam = pyvirtualcam.Camera(width=args.output_w * cam_scale, height=args.output_h * cam_scale, fps=60, + if args.alpha_split: + cam_width_scale=2 + cam = pyvirtualcam.Camera(width=args.output_w * cam_scale * cam_width_scale, height=args.output_h * cam_scale, fps=60, backend=args.output_webcam, fmt= {'unitycapture': pyvirtualcam.PixelFormat.RGBA, 'obs': pyvirtualcam.PixelFormat.RGB}[ @@ -288,7 +293,6 @@ def main(): # results = facemesh.process(input_frame) if args.perf: - print('===') tic = time.perf_counter() if args.debug_input: mouth_eye_vector_c = [0.0] * 27 @@ -316,7 +320,7 @@ def main(): new_blender_data = client_process.queue.get_nowait() blender_data = new_blender_data except queue.Empty: - continue + pass ifacialmocap_pose_converted = ifm_converter.convert(blender_data) @@ -398,15 +402,14 @@ def main(): pose_vector_c[1] = y_angle * 2.0 # temp weight pose_vector_c[2] = (z_angle + 1.5) * 2 # temp weight - if args.perf: - print("input", time.perf_counter() - tic) - tic = time.perf_counter() model_input_arr = mouth_eye_vector_c model_input_arr.extend(pose_vector_c) vector_hash = hash(tuple(model_input_arr)) tot_count += 1 - if vector_hash == prev_hash: continue + if vector_hash == prev_hash: + continue + # print("hash", vector_hash) if vector_hash != prev_hash: changed_count += 1 prev_hash = vector_hash @@ -426,9 +429,16 @@ def main(): model_output = new_model_output except queue.Empty: pass - if model_output is None: continue + if model_output is None: + time.sleep(1) + continue postprocessed_image=model_output + if args.perf: + print('===') + print("input", time.perf_counter() - tic) + tic = time.perf_counter() + if extra_image is not None: postprocessed_image = cv2.vconcat([postprocessed_image, extra_image]) @@ -470,6 +480,11 @@ def main(): if args.perf: print("anime4k", (time.perf_counter() - tic) * 1000) tic = time.perf_counter() + if args.alpha_split: + alpha_image=cv2.merge([postprocessed_image[:, :, 3],postprocessed_image[:, :, 3],postprocessed_image[:, :, 3]]) + alpha_image=cv2.cvtColor(alpha_image, cv2.COLOR_RGB2RGBA) + postprocessed_image=cv2.hconcat([postprocessed_image,alpha_image]) + if args.debug: output_frame = cv2.cvtColor(postprocessed_image, cv2.COLOR_RGBA2BGRA) # resized_frame = cv2.resize(output_frame, (np.min(debug_image.shape[:2]), np.min(debug_image.shape[:2]))) diff --git a/obs_shader/merge alpha2.hlsl b/obs_shader/merge alpha2.hlsl new file mode 100644 index 0000000..151a35f --- /dev/null +++ b/obs_shader/merge alpha2.hlsl @@ -0,0 +1,43 @@ +uniform float4x4 ViewProj< + bool automatic = true; + string name = "View Projection Matrix"; +>; +uniform texture2d InputA< + bool automatic = true; +>; + +uniform int mode; + +sampler_state textureSampler { + Filter = Linear; + AddressU = Clamp; + AddressV = Clamp; +}; + +struct VertData { + float4 pos : POSITION; + float2 uv : TEXCOORD0; +}; + +VertData VSDefault(VertData vtx) +{ + vtx.pos = mul(float4(vtx.pos.xyz, 1.0), ViewProj); + return vtx; +} + +float4 PSAlphaFilter(VertData vtx) : TARGET +{ + float2 uv = vtx.uv; + float3 pixel = InputA.Sample(textureSampler, float2(vtx.uv.x, vtx.uv.y)).rgb; + float alpha = InputA.Sample(textureSampler, float2(vtx.uv.x + 0.5, vtx.uv.y)).g; + return float4(clamp(pixel.rgb / alpha, 0.0, 1.0), alpha); +} + +technique Draw +{ + pass + { + vertex_shader = VSDefault(vtx); + pixel_shader = PSAlphaFilter(vtx); + } +} \ No newline at end of file From b845c741a7f4f17523ab814609768cb4d2f39f20 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 15 May 2022 02:18:53 +0800 Subject: [PATCH 05/21] remove mouth_uuu --- main.py | 12 ++++++++++-- tha2/poser/modes/mode_20_wx.py | 6 ++++-- 2 files changed, 14 insertions(+), 4 deletions(-) diff --git a/main.py b/main.py index 46e76e1..d61592e 100644 --- a/main.py +++ b/main.py @@ -407,8 +407,9 @@ def main(): model_input_arr.extend(pose_vector_c) vector_hash = hash(tuple(model_input_arr)) tot_count += 1 - if vector_hash == prev_hash: - continue + should_output=False + if vector_hash != prev_hash: + should_output=True # print("hash", vector_hash) if vector_hash != prev_hash: changed_count += 1 @@ -422,9 +423,11 @@ def main(): model_process.input_queue.put_nowait(model_input_arr) + has_model_output=0 try: new_model_output = model_output while not model_process.output_queue.empty(): + has_model_output+=1 new_model_output = model_process.output_queue.get_nowait() model_output = new_model_output except queue.Empty: @@ -432,6 +435,11 @@ def main(): if model_output is None: time.sleep(1) continue + # print(has_model_output) + # should_output=should_output or has_model_output + # if not should_output: + # continue + postprocessed_image=model_output if args.perf: diff --git a/tha2/poser/modes/mode_20_wx.py b/tha2/poser/modes/mode_20_wx.py index 9d8955c..f78d640 100644 --- a/tha2/poser/modes/mode_20_wx.py +++ b/tha2/poser/modes/mode_20_wx.py @@ -268,11 +268,13 @@ class IFacialMocapPoseConverter20(IFacialMocapPoseConverter): # [decomp.item(0), decomp.item(1), decomp.item(2), decomp.item(3)]) pose[self.mouth_aaa_index] = restricted_decomp[0] pose[self.mouth_iii_index] = restricted_decomp[1] - mouth_funnel_denom = self.args.mouth_funnel_max_value - self.args.mouth_funnel_min_value - ooo_alpha = clamp((mouth_funnel - self.args.mouth_funnel_min_value) / mouth_funnel_denom, 0.0, 1.0) + # mouth_funnel_denom = self.args.mouth_funnel_max_value - self.args.mouth_funnel_min_value + # ooo_alpha = clamp((mouth_funnel - self.args.mouth_funnel_min_value) / mouth_funnel_denom, 0.0, 1.0) + ooo_alpha=1 uo_value = clamp(restricted_decomp[2] + restricted_decomp[3], 0.0, 1.0) pose[self.mouth_uuu_index] = uo_value * (1.0 - ooo_alpha) pose[self.mouth_ooo_index] = uo_value * ooo_alpha + print(pose[self.mouth_aaa_index:self.mouth_ooo_index+1]) # pose[28] = restricted_decomp[2] # pose[30] = restricted_decomp[3] From 993ffe27c0c743b767805bfa046c9011fd8e3a83 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 15 May 2022 04:43:59 +0800 Subject: [PATCH 06/21] cached --- main.py | 83 +++++++++++++++------------------- tha2/poser/modes/mode_20_wx.py | 2 +- 2 files changed, 38 insertions(+), 47 deletions(-) diff --git a/main.py b/main.py index d61592e..e3b8d93 100644 --- a/main.py +++ b/main.py @@ -20,7 +20,6 @@ import math from collections import OrderedDict from multiprocessing import Value, Process, Queue -import pyanime4k from pyanime4k import ac from tha2.mocap.ifacialmocap_constants import * @@ -157,6 +156,10 @@ class ModelClientProcess(Process): mouth_eye_vector = mouth_eye_vector.to(device) pose_vector = pose_vector.to(device) + model_cache = OrderedDict() + tot = 0 + hit = 0 + while True: input = None try: @@ -165,31 +168,41 @@ class ModelClientProcess(Process): except queue.Empty: continue if input is None: continue - - if args.perf: - tic = time.perf_counter() - for i in range(27): - mouth_eye_vector[0, i] = input[i] - for i in range(3): - pose_vector[0, i] = input[i+27] - if model is None: - output_image = input_image + input=[round(x*100)/100 for x in input] + input_hash=hash(tuple(input)) + cached=model_cache.get(input_hash) + tot+=1 + if not cached is None: + self.output_queue.put_nowait(cached) + model_cache.move_to_end(input_hash) + hit+=1 + print('cached',hit/tot*100) else: - output_image = model(input_image, mouth_eye_vector, pose_vector) - if args.perf: - torch.cuda.synchronize() - print("model", (time.perf_counter() - tic) * 1000) - tic = time.perf_counter() - postprocessed_image = output_image.cpu() - if args.perf: - print("cpu()", (time.perf_counter() - tic) * 1000) - tic = time.perf_counter() - postprocessed_image = postprocessing_image(postprocessed_image) - if args.perf: - print("postprocess", (time.perf_counter() - tic) * 1000) - tic = time.perf_counter() + if args.perf: + tic = time.perf_counter() + for i in range(27): + mouth_eye_vector[0, i] = input[i] + for i in range(3): + pose_vector[0, i] = input[i+27] + if model is None: + output_image = input_image + else: + output_image = model(input_image, mouth_eye_vector, pose_vector) + if args.perf: + torch.cuda.synchronize() + print("model", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + postprocessed_image = output_image.cpu() + if args.perf: + print("cpu()", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() + postprocessed_image = postprocessing_image(postprocessed_image) + if args.perf: + print("postprocess", (time.perf_counter() - tic) * 1000) + tic = time.perf_counter() - self.output_queue.put_nowait(postprocessed_image) + model_cache[input_hash]=postprocessed_image + self.output_queue.put_nowait(postprocessed_image) @@ -278,13 +291,6 @@ def main(): model_process.daemon = True model_process.start() - vector_hash = None - prev_hash = None - changed_count = 0 - missed_count = 0 - tot_count = 0 - model_cache = OrderedDict() - print("Ready. Close this console to exit.") while True: @@ -405,21 +411,6 @@ def main(): model_input_arr = mouth_eye_vector_c model_input_arr.extend(pose_vector_c) - vector_hash = hash(tuple(model_input_arr)) - tot_count += 1 - should_output=False - if vector_hash != prev_hash: - should_output=True - - # print("hash", vector_hash) - if vector_hash != prev_hash: changed_count += 1 - prev_hash = vector_hash - if model_cache.get(vector_hash) is None: - model_cache[vector_hash] = True - missed_count += 1 - # - # print('changed ratio',changed_count/tot_count*100) - # print('missed ratio',missed_count/tot_count*100) model_process.input_queue.put_nowait(model_input_arr) diff --git a/tha2/poser/modes/mode_20_wx.py b/tha2/poser/modes/mode_20_wx.py index f78d640..b898f3b 100644 --- a/tha2/poser/modes/mode_20_wx.py +++ b/tha2/poser/modes/mode_20_wx.py @@ -274,7 +274,7 @@ class IFacialMocapPoseConverter20(IFacialMocapPoseConverter): uo_value = clamp(restricted_decomp[2] + restricted_decomp[3], 0.0, 1.0) pose[self.mouth_uuu_index] = uo_value * (1.0 - ooo_alpha) pose[self.mouth_ooo_index] = uo_value * ooo_alpha - print(pose[self.mouth_aaa_index:self.mouth_ooo_index+1]) + # print(pose[self.mouth_aaa_index:self.mouth_ooo_index+1]) # pose[28] = restricted_decomp[2] # pose[30] = restricted_decomp[3] From f5568c4c4e531eb28e18e00fddc4b76b66c5608c Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 15 May 2022 17:26:01 +0800 Subject: [PATCH 07/21] cached --- args.py | 15 +++++++++++++++ main.py | 9 +++++---- 2 files changed, 20 insertions(+), 4 deletions(-) diff --git a/args.py b/args.py index 81e073d..dcfd223 100644 --- a/args.py +++ b/args.py @@ -1,4 +1,14 @@ import argparse +import re + +def convert_to_byte(size): + result = re.search('(\d+\.?\d*)(b|kb|mb|gb|tb)', size.lower()) + if (result and result.groups()): + unit = result.groups()[1] + amount = float(result.groups()[0]) + index = ['b', 'kb', 'mb', 'gb', 'tb'].index(unit) + return amount * pow(1024, index) + raise ValueError("Invalid size provided, value is " + size) parser = argparse.ArgumentParser() parser.add_argument('--debug', action='store_true') @@ -14,7 +24,12 @@ parser.add_argument('--skip_model', action='store_true') parser.add_argument('--ifm', type=str) parser.add_argument('--anime4k', action='store_true') parser.add_argument('--alpha_split', action='store_true') +parser.add_argument('--cache', type=str, default='100mb') args = parser.parse_args() args.output_w = int(args.output_size.split('x')[0]) args.output_h = int(args.output_size.split('x')[1]) +if args.cache is not None: + args.max_cache_len=int(convert_to_byte(args.cache)/262144) +else: + args.max_cache_len=0 if args.output_webcam is None and args.output_dir is None: args.debug = True \ No newline at end of file diff --git a/main.py b/main.py index e3b8d93..ffb278d 100644 --- a/main.py +++ b/main.py @@ -17,6 +17,7 @@ import queue import socket import time import math +import re from collections import OrderedDict from multiprocessing import Value, Process, Queue @@ -201,11 +202,11 @@ class ModelClientProcess(Process): print("postprocess", (time.perf_counter() - tic) * 1000) tic = time.perf_counter() - model_cache[input_hash]=postprocessed_image self.output_queue.put_nowait(postprocessed_image) - - - + if args.max_cache_len>0: + model_cache[input_hash]=postprocessed_image + if len(model_cache)>args.max_cache_len: + model_cache.popitem(0) @torch.no_grad() From 94e27a90eab77ad269e93aab7bb29f939155ab7f Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 15 May 2022 17:27:03 +0800 Subject: [PATCH 08/21] cached --- main.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/main.py b/main.py index ffb278d..abf64d1 100644 --- a/main.py +++ b/main.py @@ -177,7 +177,8 @@ class ModelClientProcess(Process): self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) hit+=1 - print('cached',hit/tot*100) + if args.perf: + print('cached',str(hit/tot*100)+'%') else: if args.perf: tic = time.perf_counter() From d11cb75350306dc0b8ac4a1a63961353d7320b33 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sat, 21 May 2022 21:41:53 +0800 Subject: [PATCH 09/21] cached --- LICENSE | 2 +- main.py | 9 +++++---- tha2/poser/modes/mode_20_wx.py | 14 +++++++------- 3 files changed, 13 insertions(+), 12 deletions(-) diff --git a/LICENSE b/LICENSE index 1d8c44b..2a663dd 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ MIT License -Copyright (c) 2021 Gunwoo Han +Copyright (c) 2021 Gunwoo Han, yuyuyzl Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/main.py b/main.py index abf64d1..032810a 100644 --- a/main.py +++ b/main.py @@ -54,6 +54,8 @@ def create_default_blender_data(): return data +ifm_converter = tha2.poser.modes.mode_20_wx.IFacialMocapPoseConverter20() + class IFMClientProcess(Process): def __init__(self): super().__init__() @@ -170,6 +172,8 @@ class ModelClientProcess(Process): continue if input is None: continue input=[round(x*100)/100 for x in input] + input[ifm_converter.iris_rotation_y_index - 12]=round(input[ifm_converter.iris_rotation_y_index - 12]*100)/100 + input[ifm_converter.iris_rotation_x_index - 12]=round(input[ifm_converter.iris_rotation_x_index - 12]*100)/100 input_hash=hash(tuple(input)) cached=model_cache.get(input_hash) tot+=1 @@ -177,7 +181,7 @@ class ModelClientProcess(Process): self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) hit+=1 - if args.perf: + if (args.perf)or hit%100==0: print('cached',str(hit/tot*100)+'%') else: if args.perf: @@ -221,8 +225,6 @@ def main(): extra_image = np.array(img.crop((0, 256, img.size[0], img.size[1]))) print("Character Image Loaded:", args.character) - - ifm_converter = None cap = None if not args.debug_input: @@ -231,7 +233,6 @@ def main(): client_process = IFMClientProcess() client_process.daemon = True client_process.start() - ifm_converter = tha2.poser.modes.mode_20_wx.create_ifacialmocap_pose_converter() print("IFM Service Running:", args.ifm) else: diff --git a/tha2/poser/modes/mode_20_wx.py b/tha2/poser/modes/mode_20_wx.py index b898f3b..cbbfdf2 100644 --- a/tha2/poser/modes/mode_20_wx.py +++ b/tha2/poser/modes/mode_20_wx.py @@ -86,7 +86,7 @@ class IFacialMocapPoseConverter20(IFacialMocapPoseConverter): self.eyebrow_serious_left_index = pose_parameters.get_parameter_index("eyebrow_serious_left") self.eyebrow_serious_right_index = pose_parameters.get_parameter_index("eyebrow_serious_right") - self.eye_surprised_left_index = pose_parameters.get_parameter_index("eye_surprised_left") + self.eye_surprised_left_index = pose_parameters.get_parameter_index("eye_surprised_left") # 0 self.eye_surprised_right_index = pose_parameters.get_parameter_index("eye_surprised_right") self.eye_wink_left_index = pose_parameters.get_parameter_index("eye_wink_left") self.eye_wink_right_index = pose_parameters.get_parameter_index("eye_wink_right") @@ -95,13 +95,13 @@ class IFacialMocapPoseConverter20(IFacialMocapPoseConverter): self.eye_relaxed_left_index = pose_parameters.get_parameter_index("eye_relaxed_left") self.eye_relaxed_right_index = pose_parameters.get_parameter_index("eye_relaxed_right") self.eye_raised_lower_eyelid_left_index = pose_parameters.get_parameter_index("eye_raised_lower_eyelid_left") - self.eye_raised_lower_eyelid_right_index = pose_parameters.get_parameter_index("eye_raised_lower_eyelid_right") + self.eye_raised_lower_eyelid_right_index = pose_parameters.get_parameter_index("eye_raised_lower_eyelid_right") # 9 - self.iris_small_left_index = pose_parameters.get_parameter_index("iris_small_left") + self.iris_small_left_index = pose_parameters.get_parameter_index("iris_small_left")#10 self.iris_small_right_index = pose_parameters.get_parameter_index("iris_small_right") self.iris_rotation_x_index = pose_parameters.get_parameter_index("iris_rotation_x") - self.iris_rotation_y_index = pose_parameters.get_parameter_index("iris_rotation_y") + self.iris_rotation_y_index = pose_parameters.get_parameter_index("iris_rotation_y")#13 self.head_x_index = pose_parameters.get_parameter_index("head_x") self.head_y_index = pose_parameters.get_parameter_index("head_y") @@ -268,9 +268,9 @@ class IFacialMocapPoseConverter20(IFacialMocapPoseConverter): # [decomp.item(0), decomp.item(1), decomp.item(2), decomp.item(3)]) pose[self.mouth_aaa_index] = restricted_decomp[0] pose[self.mouth_iii_index] = restricted_decomp[1] - # mouth_funnel_denom = self.args.mouth_funnel_max_value - self.args.mouth_funnel_min_value - # ooo_alpha = clamp((mouth_funnel - self.args.mouth_funnel_min_value) / mouth_funnel_denom, 0.0, 1.0) - ooo_alpha=1 + mouth_funnel_denom = self.args.mouth_funnel_max_value - self.args.mouth_funnel_min_value + ooo_alpha = clamp((mouth_funnel - self.args.mouth_funnel_min_value) / mouth_funnel_denom, 0.0, 1.0) + # ooo_alpha = 1 uo_value = clamp(restricted_decomp[2] + restricted_decomp[3], 0.0, 1.0) pose[self.mouth_uuu_index] = uo_value * (1.0 - ooo_alpha) pose[self.mouth_ooo_index] = uo_value * ooo_alpha From f47e65ab9b2d7fe0eb69c5308f494bfb25f4514c Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 22 May 2022 01:37:50 +0800 Subject: [PATCH 10/21] staged simplify --- args.py | 1 + main.py | 122 +++++++++++++++++++++++++++++++++++++++++--------------- 2 files changed, 91 insertions(+), 32 deletions(-) diff --git a/args.py b/args.py index dcfd223..ea13ae3 100644 --- a/args.py +++ b/args.py @@ -25,6 +25,7 @@ parser.add_argument('--ifm', type=str) parser.add_argument('--anime4k', action='store_true') parser.add_argument('--alpha_split', action='store_true') parser.add_argument('--cache', type=str, default='100mb') +parser.add_argument('--simplify', type=int, default=1) args = parser.parse_args() args.output_w = int(args.output_size.split('x')[0]) args.output_h = int(args.output_size.split('x')[1]) diff --git a/main.py b/main.py index 032810a..ae54328 100644 --- a/main.py +++ b/main.py @@ -56,6 +56,7 @@ def create_default_blender_data(): ifm_converter = tha2.poser.modes.mode_20_wx.IFacialMocapPoseConverter20() + class IFMClientProcess(Process): def __init__(self): super().__init__() @@ -138,11 +139,11 @@ class ModelClientProcess(Process): def __init__(self, input_image): super().__init__() self.should_terminate = Value('b', False) - self.updated=Value('b', False) + self.updated = Value('b', False) self.data = None self.input_image = input_image - self.output_queue=Queue() - self.input_queue=Queue() + self.output_queue = Queue() + self.input_queue = Queue() def run(self): model = None @@ -164,32 +165,88 @@ class ModelClientProcess(Process): hit = 0 while True: - input = None + model_input = None try: while not self.input_queue.empty(): - input = self.input_queue.get_nowait() + model_input = self.input_queue.get_nowait() except queue.Empty: continue - if input is None: continue - input=[round(x*100)/100 for x in input] - input[ifm_converter.iris_rotation_y_index - 12]=round(input[ifm_converter.iris_rotation_y_index - 12]*100)/100 - input[ifm_converter.iris_rotation_x_index - 12]=round(input[ifm_converter.iris_rotation_x_index - 12]*100)/100 - input_hash=hash(tuple(input)) - cached=model_cache.get(input_hash) - tot+=1 + if model_input is None: continue + simplify_arr = [1000] * ifm_converter.pose_size + if args.simplify >= 1: + simplify_arr = [200] * ifm_converter.pose_size + simplify_arr[ifm_converter.eye_wink_left_index] = 50 + simplify_arr[ifm_converter.eye_wink_right_index] = 50 + simplify_arr[ifm_converter.eye_happy_wink_left_index] = 50 + simplify_arr[ifm_converter.eye_happy_wink_right_index] = 50 + simplify_arr[ifm_converter.eye_surprised_left_index] = 30 + simplify_arr[ifm_converter.eye_surprised_right_index] = 30 + simplify_arr[ifm_converter.iris_rotation_x_index] = 25 + simplify_arr[ifm_converter.iris_rotation_y_index] = 25 + simplify_arr[ifm_converter.eye_raised_lower_eyelid_left_index] = 10 + simplify_arr[ifm_converter.eye_raised_lower_eyelid_right_index] = 10 + simplify_arr[ifm_converter.mouth_lowered_corner_left_index] = 5 + simplify_arr[ifm_converter.mouth_lowered_corner_right_index] = 5 + simplify_arr[ifm_converter.mouth_raised_corner_left_index] = 5 + simplify_arr[ifm_converter.mouth_raised_corner_right_index] = 5 + if args.simplify >= 2: + simplify_arr[ifm_converter.head_x_index]=100 + simplify_arr[ifm_converter.head_y_index]=100 + simplify_arr[ifm_converter.eye_surprised_left_index] = 10 + simplify_arr[ifm_converter.eye_surprised_right_index] = 10 + model_input[ifm_converter.eye_wink_left_index - 12] += model_input[ + ifm_converter.eye_happy_wink_left_index - 12] + model_input[ifm_converter.eye_happy_wink_left_index - 12] = model_input[ + ifm_converter.eye_wink_left_index - 12] / 2 + model_input[ifm_converter.eye_wink_left_index - 12] = model_input[ + ifm_converter.eye_wink_left_index - 12] / 2 + model_input[ifm_converter.eye_wink_right_index - 12] += model_input[ + ifm_converter.eye_happy_wink_right_index - 12] + model_input[ifm_converter.eye_happy_wink_right_index - 12] = model_input[ + ifm_converter.eye_wink_right_index - 12] / 2 + model_input[ifm_converter.eye_wink_right_index - 12] = model_input[ + ifm_converter.eye_wink_right_index - 12] / 2 + + uosum = model_input[ifm_converter.mouth_uuu_index - 12] + \ + model_input[ifm_converter.mouth_ooo_index - 12] + model_input[ifm_converter.mouth_ooo_index - 12] = uosum + model_input[ifm_converter.mouth_uuu_index - 12] = 0 + is_open = (model_input[ifm_converter.mouth_aaa_index - 12] + model_input[ + ifm_converter.mouth_iii_index - 12] + uosum) > 0 + model_input[ifm_converter.mouth_lowered_corner_left_index - 12] = 0 + model_input[ifm_converter.mouth_lowered_corner_right_index - 12] = 0 + model_input[ifm_converter.mouth_raised_corner_left_index - 12] = 0.5 if is_open else 0 + model_input[ifm_converter.mouth_raised_corner_right_index - 12] = 0.5 if is_open else 0 + simplify_arr[ifm_converter.mouth_lowered_corner_left_index] = 0 + simplify_arr[ifm_converter.mouth_lowered_corner_right_index] = 0 + simplify_arr[ifm_converter.mouth_raised_corner_left_index] = 0 + simplify_arr[ifm_converter.mouth_raised_corner_right_index] = 0 + if args.simplify >= 3: + simplify_arr[ifm_converter.iris_rotation_x_index] = 20 + simplify_arr[ifm_converter.iris_rotation_y_index] = 20 + simplify_arr[ifm_converter.eye_wink_left_index] = 25 + simplify_arr[ifm_converter.eye_wink_right_index] = 25 + simplify_arr[ifm_converter.eye_happy_wink_left_index] = 25 + simplify_arr[ifm_converter.eye_happy_wink_right_index] = 25 + for i in range(12, len(simplify_arr)): + if simplify_arr[i] > 0: + model_input[i - 12] = round(model_input[i - 12] * simplify_arr[i]) / simplify_arr[i] + input_hash = hash(tuple(model_input)) + cached = model_cache.get(input_hash) + tot += 1 if not cached is None: self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) - hit+=1 - if (args.perf)or hit%100==0: - print('cached',str(hit/tot*100)+'%') + hit += 1 + if (args.perf) or hit % 10 == 0: + print('cached', str(hit / tot * 100) + '%') else: if args.perf: tic = time.perf_counter() for i in range(27): - mouth_eye_vector[0, i] = input[i] + mouth_eye_vector[0, i] = model_input[i] for i in range(3): - pose_vector[0, i] = input[i+27] + pose_vector[0, i] = model_input[i + 27] if model is None: output_image = input_image else: @@ -208,9 +265,9 @@ class ModelClientProcess(Process): tic = time.perf_counter() self.output_queue.put_nowait(postprocessed_image) - if args.max_cache_len>0: - model_cache[input_hash]=postprocessed_image - if len(model_cache)>args.max_cache_len: + if args.max_cache_len > 0: + model_cache[input_hash] = postprocessed_image + if len(model_cache) > args.max_cache_len: model_cache.popitem(0) @@ -252,12 +309,13 @@ def main(): if args.output_webcam: cam_scale = 1 - cam_width_scale=1 + cam_width_scale = 1 if args.anime4k: cam_scale = 2 if args.alpha_split: - cam_width_scale=2 - cam = pyvirtualcam.Camera(width=args.output_w * cam_scale * cam_width_scale, height=args.output_h * cam_scale, fps=60, + cam_width_scale = 2 + cam = pyvirtualcam.Camera(width=args.output_w * cam_scale * cam_width_scale, height=args.output_h * cam_scale, + fps=60, backend=args.output_webcam, fmt= {'unitycapture': pyvirtualcam.PixelFormat.RGBA, 'obs': pyvirtualcam.PixelFormat.RGB}[ @@ -289,8 +347,8 @@ def main(): blender_data = create_default_blender_data() tic1 = 0 - model_output=None - model_process=ModelClientProcess(input_image) + model_output = None + model_process = ModelClientProcess(input_image) model_process.daemon = True model_process.start() @@ -411,17 +469,16 @@ def main(): pose_vector_c[1] = y_angle * 2.0 # temp weight pose_vector_c[2] = (z_angle + 1.5) * 2 # temp weight - model_input_arr = mouth_eye_vector_c model_input_arr.extend(pose_vector_c) model_process.input_queue.put_nowait(model_input_arr) - has_model_output=0 + has_model_output = 0 try: new_model_output = model_output while not model_process.output_queue.empty(): - has_model_output+=1 + has_model_output += 1 new_model_output = model_process.output_queue.get_nowait() model_output = new_model_output except queue.Empty: @@ -434,7 +491,7 @@ def main(): # if not should_output: # continue - postprocessed_image=model_output + postprocessed_image = model_output if args.perf: print('===') @@ -483,9 +540,10 @@ def main(): print("anime4k", (time.perf_counter() - tic) * 1000) tic = time.perf_counter() if args.alpha_split: - alpha_image=cv2.merge([postprocessed_image[:, :, 3],postprocessed_image[:, :, 3],postprocessed_image[:, :, 3]]) - alpha_image=cv2.cvtColor(alpha_image, cv2.COLOR_RGB2RGBA) - postprocessed_image=cv2.hconcat([postprocessed_image,alpha_image]) + alpha_image = cv2.merge( + [postprocessed_image[:, :, 3], postprocessed_image[:, :, 3], postprocessed_image[:, :, 3]]) + alpha_image = cv2.cvtColor(alpha_image, cv2.COLOR_RGB2RGBA) + postprocessed_image = cv2.hconcat([postprocessed_image, alpha_image]) if args.debug: output_frame = cv2.cvtColor(postprocessed_image, cv2.COLOR_RGBA2BGRA) From c3d22d4d090cedccce9d1c0dec369d6ec0e26e33 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 22 May 2022 02:12:08 +0800 Subject: [PATCH 11/21] staged simplify --- main.py | 48 ++++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 42 insertions(+), 6 deletions(-) diff --git a/main.py b/main.py index ae54328..49819cc 100644 --- a/main.py +++ b/main.py @@ -189,9 +189,10 @@ class ModelClientProcess(Process): simplify_arr[ifm_converter.mouth_lowered_corner_right_index] = 5 simplify_arr[ifm_converter.mouth_raised_corner_left_index] = 5 simplify_arr[ifm_converter.mouth_raised_corner_right_index] = 5 + if args.simplify >= 2: - simplify_arr[ifm_converter.head_x_index]=100 - simplify_arr[ifm_converter.head_y_index]=100 + simplify_arr[ifm_converter.head_x_index] = 100 + simplify_arr[ifm_converter.head_y_index] = 100 simplify_arr[ifm_converter.eye_surprised_left_index] = 10 simplify_arr[ifm_converter.eye_surprised_right_index] = 10 model_input[ifm_converter.eye_wink_left_index - 12] += model_input[ @@ -224,10 +225,45 @@ class ModelClientProcess(Process): if args.simplify >= 3: simplify_arr[ifm_converter.iris_rotation_x_index] = 20 simplify_arr[ifm_converter.iris_rotation_y_index] = 20 - simplify_arr[ifm_converter.eye_wink_left_index] = 25 - simplify_arr[ifm_converter.eye_wink_right_index] = 25 - simplify_arr[ifm_converter.eye_happy_wink_left_index] = 25 - simplify_arr[ifm_converter.eye_happy_wink_right_index] = 25 + simplify_arr[ifm_converter.eye_wink_left_index] = 32 + simplify_arr[ifm_converter.eye_wink_right_index] = 32 + simplify_arr[ifm_converter.eye_happy_wink_left_index] = 32 + simplify_arr[ifm_converter.eye_happy_wink_right_index] = 32 + if args.simplify >= 4: + simplify_arr[ifm_converter.head_x_index] = 50 + simplify_arr[ifm_converter.head_y_index] = 50 + simplify_arr[ifm_converter.neck_z_index] = 100 + model_input[ifm_converter.eye_raised_lower_eyelid_left_index - 12] = 0 + model_input[ifm_converter.eye_raised_lower_eyelid_right_index - 12] = 0 + simplify_arr[ifm_converter.iris_rotation_x_index] = 10 + simplify_arr[ifm_converter.iris_rotation_y_index] = 10 + simplify_arr[ifm_converter.eye_wink_left_index] = 24 + simplify_arr[ifm_converter.eye_wink_right_index] = 24 + simplify_arr[ifm_converter.eye_happy_wink_left_index] = 24 + simplify_arr[ifm_converter.eye_happy_wink_right_index] = 24 + simplify_arr[ifm_converter.eye_surprised_left_index] = 8 + simplify_arr[ifm_converter.eye_surprised_right_index] = 8 + model_input[ifm_converter.eye_wink_left_index - 12] += model_input[ + ifm_converter.eye_wink_right_index - 12] + model_input[ifm_converter.eye_wink_right_index - 12] = model_input[ + ifm_converter.eye_wink_left_index - 12] / 2 + model_input[ifm_converter.eye_wink_left_index - 12] = model_input[ + ifm_converter.eye_wink_left_index - 12] / 2 + + model_input[ifm_converter.eye_surprised_left_index - 12] += model_input[ + ifm_converter.eye_surprised_right_index - 12] + model_input[ifm_converter.eye_surprised_right_index - 12] = model_input[ + ifm_converter.eye_surprised_left_index - 12] / 2 + model_input[ifm_converter.eye_surprised_left_index - 12] = model_input[ + ifm_converter.eye_surprised_left_index - 12] / 2 + + model_input[ifm_converter.eye_happy_wink_left_index - 12] += model_input[ + ifm_converter.eye_happy_wink_right_index - 12] + model_input[ifm_converter.eye_happy_wink_right_index - 12] = model_input[ + ifm_converter.eye_happy_wink_left_index - 12] / 2 + model_input[ifm_converter.eye_happy_wink_left_index - 12] = model_input[ + ifm_converter.eye_happy_wink_left_index - 12] / 2 + for i in range(12, len(simplify_arr)): if simplify_arr[i] > 0: model_input[i - 12] = round(model_input[i - 12] * simplify_arr[i]) / simplify_arr[i] From c691f6c5cb1ff43c6a0441a88c41cb854c08c3bb Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 22 May 2022 05:33:19 +0800 Subject: [PATCH 12/21] staged simplify --- main.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/main.py b/main.py index 49819cc..f20ea90 100644 --- a/main.py +++ b/main.py @@ -263,7 +263,17 @@ class ModelClientProcess(Process): ifm_converter.eye_happy_wink_left_index - 12] / 2 model_input[ifm_converter.eye_happy_wink_left_index - 12] = model_input[ ifm_converter.eye_happy_wink_left_index - 12] / 2 - + model_input[ifm_converter.mouth_aaa_index - 12] = min( + model_input[ifm_converter.mouth_aaa_index - 12]+ + model_input[ifm_converter.mouth_ooo_index - 12]/2+ + model_input[ifm_converter.mouth_iii_index - 12]/2+ + model_input[ifm_converter.mouth_uuu_index - 12]/2,1 + ) + model_input[ifm_converter.mouth_ooo_index - 12]=0 + model_input[ifm_converter.mouth_iii_index - 12]=0 + model_input[ifm_converter.mouth_uuu_index - 12]=0 + for i in range(4,args.simplify): + simplify_arr=[max(math.ceil(x*0.8),5)for x in simplify_arr] for i in range(12, len(simplify_arr)): if simplify_arr[i] > 0: model_input[i - 12] = round(model_input[i - 12] * simplify_arr[i]) / simplify_arr[i] From bab78653895932838ae9e2b243e51469ac8196ed Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 22 May 2022 05:35:25 +0800 Subject: [PATCH 13/21] staged simplify --- main.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/main.py b/main.py index f20ea90..1700da4 100644 --- a/main.py +++ b/main.py @@ -284,7 +284,7 @@ class ModelClientProcess(Process): self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) hit += 1 - if (args.perf) or hit % 10 == 0: + if (args.perf) and hit % 20 == 0: print('cached', str(hit / tot * 100) + '%') else: if args.perf: From 0e6e0fab0826018f22ead750fa2fbfdcfaf3f566 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 22 May 2022 06:17:37 +0800 Subject: [PATCH 14/21] doc --- README.md | 16 +++++++++++++ assets/alphasplit.png | Bin 0 -> 139513 bytes obs_shader/merge alpha2.hlsl | 43 ----------------------------------- 3 files changed, 16 insertions(+), 43 deletions(-) create mode 100644 assets/alphasplit.png delete mode 100644 obs_shader/merge alpha2.hlsl diff --git a/README.md b/README.md index 3ccf518..4ad5bb0 100644 --- a/README.md +++ b/README.md @@ -9,6 +9,8 @@ Fork自 https://github.com/GunwooHan/EasyVtuber 并且省略了ifacialmocap pc端，通过UDP直连的方式使ios面捕刷新率达到30fps，解决了面捕刷新率的瓶颈 最后，将EasyVtuber中使用的OBS虚拟摄像头方案切换为Unity Capture，解锁RGBA输出能力，无需绿背即可直接使用 +[视频介绍和安装说明](https://www.bilibili.com/video/BV1uu411r7DR) + ## Requirements ### 硬件 @@ -87,6 +89,20 @@ https://github.com/pkhungurn/talking-head-anime-2-demo#download-the-model ### 输入输出设备 +#### OBS Virtual Camera + +目前更推荐这个方案，UnityCapture存在未查明的性能瓶颈 +如果你选择自己进行抠像你可以直接输出到obs，如果你需要RGBA支持则需要额外使用一个Shader +下载并安装StreamFX https://github.com/Xaymar/obs-StreamFX +下载Shader（感谢树根的协助） https://github.com/shugen002/shader/blob/master/merge%20alpha2.hlsl +之后，使用`--alpha_split`参数运行 +![alpha split](assets/alphasplit.png) +你会看到这样的输出画面，透明通道单独使用灰度方式发送了 +之后对OBS中的视频采集设备添加滤镜-着色器-选择你下载的`merge alpha2.hlsl`-关闭 +这样透明通道就应用回左边的图像了 +你可能需要手动调整一下裁剪把右侧的无用画面切掉 +(看不到着色器滤镜的话就是StreamFX没装好或者OBS不是最新版) + #### UnityCapture 如果需要使用透明通道输出，参考 https://github.com/schellingb/UnityCapture#installation 安装好UnityCapture diff --git a/assets/alphasplit.png b/assets/alphasplit.png new file mode 100644 index 0000000000000000000000000000000000000000..1d045526eb4f216086870eaadaab3bb247b6651a GIT binary patch literal 139513 zcmeFYASSemyf;$9vcMri6Nb>0Y zz5D)$H^v>~d`Z6Sv)9^tt-0o$2cV%QkB3c(je>%Lr>G$N83pAT3xVf-2~ z5sDxYI()>WR3Jo$gXyJ8iRhXYd?@n*EKS)yI1aV|#26cy)aw`xzkkG=?JAGfw9QwS z+*sDmDOJN`|ISnw8`z|*{czebzw96$WAb3U0h@0^L#3vtL;K(JzX<#<0{@G^|03|e z2>dSs|BJx?Um~!;8FtaI;@J>*g&8URA#t2doe2<%`Srh#BR=Xde0a?s?wdg(7r#coIEVY zHi-M)A66r_OC_#535-H^2VB{MkFSRfIvPpYevACydXB89`(8;j;{JowKBr6d7%isk zWX1P_q&3(iVdHNImvSw%M&7HK9rP_y->nDi;0exF^beQUF7fSEha8NqIfE(XewM^N zy?5994|FfFgHA1JA9h(JvxcoYFQT{}j|vb+tE;Q;r`+FvMsFkyn{51D$=XJW#h$7( zuG2)DD7#($41+-26)esGebo6=cFg!6NLN#iUUOaqZd*G)Uu)YyBJLRAuTUJ1NwhMb z7GfrxL~;nCZofB{eOrS(thKMutPuQuG+wk{j5~jF+Qd~a9auZ(UkO?$+KVI zhm9mMCQ9VwFR$utP5pKvbA_4~1xt?qrK!t?xcQ{2jmB>``RM3Ki#6(+mX>y-)^adK zU1G^mK=6u(RT*7&a~f0O+>{dNAnLSKnC~+|vQMBX2W-D|@8KNV25jA87R$ z07BG!F0b=FS&sfS|DR~iDWa(7OTvmI{SSY{Ftf0b0Av}76`4~=NJ!9+p|?%Igkj{d zW1|5R+RC@kU4+2nbfZdI(bS?PEp(Q;=`|JC?#`BL*+P=sPk@RDSrU2OlEz!uB^%d* z{rh(aj;n-n`hN$g#twb*t^oOXkn~zOyz}67brAm8qwG;uK|u&~FT=2MzC>K*`O`r$ zLPLd~o1(QlNU(`NEbeNF<@W{DYfxat^o-j#tT+!61A6WkS!j{>F|@&s7LM!`)A&XU zk3dpXLR6yWR!po3F(5uhy2x2KU+nrCyosUZ=)aKm8I6=oj)~t>A+v-Nu z#%g+*5BImRk}^d`ibT1cM^A%1|MJ(^Q6yPoyAu%8$Du)R=h;M{Km~_SQ{P>&(tmQn zOeA%F;NGIg9=&E;HuQzxf0Uys5H?f5%qW@Tinlf=Ped3tsxCDlmQeuJzLbT*d|9D~ zF*FW z(&u~?stmkVE-ET&$B*`Py_+|5;Yd?rQOoVBl{cq~zCSF&G_pZkwmIQ_2K1*P$ByA` z8N1e#pv1p@)`4;?LAg~rb2Q7A_JuxCSsgeTvcW*0J=);k0qHG}m?>k^>7BbGkm4YE zS}h%m4&rmR90dt3p1-T9@xAjXcvu}98|&#olcTL%?MO#9l%473hW>fbePmm#BJHwd z$)E~)loU4^vYG+N3cWnNgRQAG%{ZD54e!>!c`X7pycdE9c0cwhG6>GUm7pweFiZj%)Ff&$hfNH-i{ziooYkdfzaAP&_X1BkW-3dZ-k z=#AJ z`9YtoK(-J92C?s`JzK88{&%H9G4Ii9Rzt3fXss1FE4*5of6w1l72Oa}i}X3S`QEg{ zjw^z(ME*tI5uNdli|V-I>_fR0>{b*UeBb#%T&tH#-Kh6_j-bY1(g&t=bOu&6&Sn&ieC+d2+jytbbYzR};mALb`NQDj+ zBV7ydgNBlT3SE}khW|s`Iq(Eu%GjgT#pWm0zSRX+jAgfC?U+GRF6{;Y+CCgO+XgLp&qIxUI0QO zz(@&mzs#QE&XZBub6%<%%Rzka%^v7MKe?&woeNaQM22)1hdz+i6pzI~D@Z#S^8G<~ zZ^2)fGHo!qN-F5d_4FVYtR@n-E6u}|6`9SYZ>^9qw)~(z=*rf199L*9ME;A zwrI-iuaIW&aR74t*t=RQ=-TM%W^t&6nozeO1Aun{LiYal>kl1u%Q8NS>I0(S_LQa< zKWY0-s~2?lr_)B|Lb)(2k)y!JQ6Mx2I2=Eo6nxDvuRFAITn7O<5`12Tk4D4n0|?Cp zsS?O??Dc_@;GH4MPO%C4_)8YnkV>P9bT)`5E1}7<$5ht6%>7l2%u+2xlqPrqL508i zcw>k>Dga*6O5P`F+NwA4cLXpYvR+FB?rz53p&_j{m*dNMB)@N5v{tz6m*2BvHR+fAeMnbB4vQH({r{n@XBg9H~{Ql^vv zmY`k&$-o&^LHOAQ;>;AWXWEH?oyhtwn!Q2Dc)0`6^)w)eJ0KD=NDDk~J-N3R(hDke z*&;4?9zQ)m09)Umlo~kcqv_p=I;92ySI)0RD4rkEkBuc|+B#Hz5sRe)9W88BWjF-A zKp{JdLY@vfB#)!WN~0f+B_z6L_P|PMOeg&>2A6 zj6`(Iv~7RrY|>!OTjuGA*rQlSIXiZ!Gk8KqHSf^B0*_9lkyZ>$0d>>L!V(gQ6(D@Y z^l_UUc|m}z(Rk~~*f#A*hT4g#qZV@COWXN`QSJp^wbvSu>#~g;%-e{6+;b#Ct2=i| z=CXLue%3)FGZQ0I$!t-ezt-tRIN_UAooKjA>ykcl6Q$JpjY*^Q>ZZF&M%h>i!OMGS zc|gEYAGxE>`1wfXO~92?Q_ztq0$RKS;!GVi&Uw4oGbnK9v-Qx5IIJZIK76)d>cegK zd84yQi@oll%ellSg7jAI+XI3OaZvgj(3Qp@1rC#9L_hHJdczQ=J>xpn_E8vvfaWn_ z;~r1?9tkZ#LN(RJqr#vg4X2d;my3&w@)DOsM!(%#UYlZIfXzGOx)pOAFbC(>wT9sp zaH`FeGwae-;3TZ!;>k3E$dhz@Ha7!lZ^FCv;kJ^FF{ET)`M{dA?U zi;sFSAharq(CmkXxy9pt8+f%g03=SZ@i1eX|8S`bgv}=9=f9gU%_rp1id6bUvM!~g zd;$xJ9k;9KD?1AFW{rKkBQ=rpH;Nzey^_41 zlz9Ss?4&EtUmnyPPT?4tiu z>uOr}sZ+I&9H>l>(>vG!$hJ+%p<-AP>6}JeCj0WMd8)~Jyr*_)GPsFy7t8BYrOg6; zWUPH~5RZSSR9gSg9V|pK`Vt#pWj}a+^z4D)bOi{`2X8>uN(&I(9+DD#K8+24^k9

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zT3-3ee3}^chqa>yPjHB55i6!dAdOmL9ik@_++aw-xxZH>QO$*obJWV0OGk&bNB17# z#F#5)QM0FA%$t%~dq*e-@E?=)R+`*F9~LGN(%{oYH!OJG?NU=1UDqrIoZ zvgGOMEKvgdrZ9K?gCG2$P$;aY%W%|Kg1G$M%%uEz@i+kL!k@KIju~91PXK za9(`cfcw)4ZX^Ic!DmO06L6`)eFw<}rm_2i5Y1ggAkd1k3#z=A5y3skplq1~XgE21yu)fxGIa}BT9d+qDs3;-6H$BV45hnT;Tit8?Dl#`Rk_s?Yl}-2;SKlRy;nb~6-)V4CP~x1 z?&xr@j@g6B5HPfi>U7NX)EWsW62`a>NJdy{$ zy@I2W)zI>9+JH1oF#mKy+K_2Hz5nQOZMQ*qu{Gj%UIJbMOOrsW)q3~ccX8j>$IowG z0%uGD{B(ZnTi?RK?=$l}_sDp-|J>gVwU!8axN@$?6|~Y9|EMa&-j??aCD(4JArO}r!By!5!MWXq4xkKO0f|3G|IL!pzEHxq5_mO!fzOSl6{|rZ?Rx; zrPdu|i=Vgoi9LGX_&Sdi$1v;w_aQn9t#4ddDXkJ!3N@1JKfM3o_rLqUq^~647*jSM zFd=<`et}*geNy4z&dy{>GFDzG47$C;!wOk73Gjt6q9qU=tZIz_HGrtpcL*{j*<3oF zh@=adUbp|~&LcP|uH>hoNvGYbAGRuoGVlvgv#Bp~-={@g&t){4jtL~rW>SnJ)Zq)$ zezVb&TfGKU8zdM`Z27rt_RX(<4M%=j2kmz{Jz^i|jymsJp^An&sA#p_^nhAq6Wq5M z9xJ1F4g8=zv^&rn5Z; -uniform texture2d InputA< - bool automatic = true; ->; - -uniform int mode; - -sampler_state textureSampler { - Filter = Linear; - AddressU = Clamp; - AddressV = Clamp; -}; - -struct VertData { - float4 pos : POSITION; - float2 uv : TEXCOORD0; -}; - -VertData VSDefault(VertData vtx) -{ - vtx.pos = mul(float4(vtx.pos.xyz, 1.0), ViewProj); - return vtx; -} - -float4 PSAlphaFilter(VertData vtx) : TARGET -{ - float2 uv = vtx.uv; - float3 pixel = InputA.Sample(textureSampler, float2(vtx.uv.x, vtx.uv.y)).rgb; - float alpha = InputA.Sample(textureSampler, float2(vtx.uv.x + 0.5, vtx.uv.y)).g; - return float4(clamp(pixel.rgb / alpha, 0.0, 1.0), alpha); -} - -technique Draw -{ - pass - { - vertex_shader = VSDefault(vtx); - pixel_shader = PSAlphaFilter(vtx); - } -} \ No newline at end of file From fc082587b6e888679c4dafe06ecd1107e4386a81 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Sun, 22 May 2022 22:25:09 +0800 Subject: [PATCH 15/21] launcher --- launcher.py | 51 ++++++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 44 insertions(+), 7 deletions(-) diff --git a/launcher.py b/launcher.py index 0320d1c..5847c22 100644 --- a/launcher.py +++ b/launcher.py @@ -6,20 +6,26 @@ import tkinter as tk from tkinter import ttk import json -try: - f = open('launcher.json') - args = json.load(f) - f.close() -except: - args = { +default_arg={ 'character': 'y', 'input': 2, 'output': 2, 'ifm': None, 'is_extend_movement': False, 'is_anime4k': False, + 'is_alpha_split': False, + 'cache_simplify': 1, + 'cache_size': 1, } +try: + f = open('launcher.json') + args = json.load(f) + default_arg.update(args) + f.close() +finally: + args = default_arg + p = None characterList = [] @@ -52,6 +58,23 @@ ttk.Label(launcher, text="iFacialMocap IP:Port").pack(fill='x', expand=True) ifm = tk.StringVar(value=args['ifm']) ttk.Entry(launcher, textvariable=ifm, state=False).pack(fill='x', expand=True) +ttk.Label(launcher, text="Facial Input Simplify").pack(fill='x', expand=True) +cache_simplify = tk.IntVar(value=args['cache_simplify']) +ttk.Radiobutton(launcher, text='Off', value=0, variable=cache_simplify).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='Low', value=1, variable=cache_simplify).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='Medium', value=2, variable=cache_simplify).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='High', value=3, variable=cache_simplify).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='Higher', value=4, variable=cache_simplify).pack(fill='x', expand=True) + +ttk.Label(launcher, text="Cache Size").pack(fill='x', expand=True) +cache_size = tk.IntVar(value=args['cache_size']) +ttk.Radiobutton(launcher, text='Off', value=0, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='256M', value=1, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='1GB', value=2, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='2GB', value=3, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='4GB', value=4, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='8GB', value=5, variable=cache_size).pack(fill='x', expand=True) + ttk.Label(launcher, text="Extra Options").pack(fill='x', expand=True) is_extend_movement = tk.BooleanVar(value=args['is_extend_movement']) ttk.Checkbutton(launcher, text='Extend Movement', variable=is_extend_movement).pack(fill='x', expand=True) @@ -59,6 +82,9 @@ ttk.Checkbutton(launcher, text='Extend Movement', variable=is_extend_movement).p is_anime4k = tk.BooleanVar(value=args['is_anime4k']) ttk.Checkbutton(launcher, text='Anime4K', variable=is_anime4k).pack(fill='x', expand=True) +is_alpha_split = tk.BooleanVar(value=args['is_alpha_split']) +ttk.Checkbutton(launcher, text='Alpha Split', variable=is_alpha_split).pack(fill='x', expand=True) + output = tk.IntVar(value=args['output']) ttk.Label(launcher, text="Output").pack(fill='x', expand=True) ttk.Radiobutton(launcher, text='Unity Capture', value=0, variable=output).pack(fill='x', expand=True) @@ -76,6 +102,9 @@ def launch(): 'ifm': ifm.get(), 'is_extend_movement': is_extend_movement.get(), 'is_anime4k': is_anime4k.get(), + 'is_alpha_split': is_alpha_split.get(), + 'cache_simplify': cache_simplify.get(), + 'cache_size': cache_size.get(), } f = open('launcher.json', mode='w') json.dump(args, f) @@ -111,12 +140,20 @@ def launch(): run_args.append('--debug') if args['is_anime4k']: run_args.append('--anime4k') + if args['is_alpha_split']: + run_args.append('--alpha_split') if args['is_extend_movement']: run_args.append('--extend_movement') run_args.append('1') + if args['cache_simplify'] is not None: + run_args.append('--simplify') + run_args.append(str(args['cache_simplify'])) + if args['cache_size'] is not None: + run_args.append('--cache') + run_args.append(['0b','256mb','1gb','2gb','4gb','8gb'][args['cache_size']]) run_args.append('--output_size') run_args.append('512x512') - + print(run_args) p = subprocess.Popen(run_args) launch_btn.config(text='Stop') From 8cb2320f3c26912ba9c81a9943ea5691ef3b6849 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Mon, 23 May 2022 23:02:54 +0800 Subject: [PATCH 16/21] f --- launcher.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/launcher.py b/launcher.py index 5847c22..5ac88fe 100644 --- a/launcher.py +++ b/launcher.py @@ -133,10 +133,10 @@ def launch(): if args['output'] == 0: run_args.append('--output_webcam') run_args.append('unitycapture') - elif args['input'] == 1: + elif args['output'] == 1: run_args.append('--output_webcam') run_args.append('obs') - elif args['input'] == 2: + elif args['output'] == 2: run_args.append('--debug') if args['is_anime4k']: run_args.append('--anime4k') From cf218fc1a108f106f2176744132f3a604772f2b4 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Tue, 24 May 2022 00:25:51 +0800 Subject: [PATCH 17/21] better fps counter --- main.py | 68 ++++++++++++++++++++++++++++++++++++++------------------- 1 file changed, 46 insertions(+), 22 deletions(-) diff --git a/main.py b/main.py index 1700da4..4025fb4 100644 --- a/main.py +++ b/main.py @@ -27,6 +27,21 @@ from tha2.mocap.ifacialmocap_constants import * from args import args +import collections + + +class FPS: + def __init__(self, avarageof=50): + self.frametimestamps = collections.deque(maxlen=avarageof) + + def __call__(self): + self.frametimestamps.append(time.time()) + if len(self.frametimestamps) > 1: + return len(self.frametimestamps) / (self.frametimestamps[-1] - self.frametimestamps[0]) + else: + return 0.0 + + device = torch.device('cuda') if torch.cuda.is_available() and not args.skip_model else torch.device('cpu') @@ -64,6 +79,7 @@ class IFMClientProcess(Process): self.should_terminate = Value('b', False) self.address = args.ifm.split(':')[0] self.port = int(args.ifm.split(':')[1]) + self.ifm_fps_number=Value('f',0.0) self.perf_time = 0 def run(self): @@ -80,6 +96,8 @@ class IFMClientProcess(Process): self.socket.setblocking(False) self.socket.bind(("", self.port)) self.socket.settimeout(0.1) + ifm_fps=FPS() + pre_socket_string='' while True: if self.should_terminate.value: break @@ -92,13 +110,13 @@ class IFMClientProcess(Process): else: raise e socket_string = socket_bytes.decode("utf-8") + if args.debug and pre_socket_string!=socket_string: + self.ifm_fps_number.value=ifm_fps() + pre_socket_string=socket_string # print(socket_string) # blender_data = json.loads(socket_string) data = self.convert_from_blender_data(socket_string) - # cur_time = time.perf_counter() - # fps = 1 / (cur_time - self.perf_time) - # self.perf_time = cur_time - # print(fps) + try: self.queue.put_nowait(data) except queue.Full: @@ -144,6 +162,8 @@ class ModelClientProcess(Process): self.input_image = input_image self.output_queue = Queue() self.input_queue = Queue() + self.model_fps_number=Value('f',0.0) + self.cache_hit_ratio=Value('f',0.0) def run(self): model = None @@ -163,7 +183,7 @@ class ModelClientProcess(Process): model_cache = OrderedDict() tot = 0 hit = 0 - + model_fps = FPS() while True: model_input = None try: @@ -264,16 +284,16 @@ class ModelClientProcess(Process): model_input[ifm_converter.eye_happy_wink_left_index - 12] = model_input[ ifm_converter.eye_happy_wink_left_index - 12] / 2 model_input[ifm_converter.mouth_aaa_index - 12] = min( - model_input[ifm_converter.mouth_aaa_index - 12]+ - model_input[ifm_converter.mouth_ooo_index - 12]/2+ - model_input[ifm_converter.mouth_iii_index - 12]/2+ - model_input[ifm_converter.mouth_uuu_index - 12]/2,1 + model_input[ifm_converter.mouth_aaa_index - 12] + + model_input[ifm_converter.mouth_ooo_index - 12] / 2 + + model_input[ifm_converter.mouth_iii_index - 12] / 2 + + model_input[ifm_converter.mouth_uuu_index - 12] / 2, 1 ) - model_input[ifm_converter.mouth_ooo_index - 12]=0 - model_input[ifm_converter.mouth_iii_index - 12]=0 - model_input[ifm_converter.mouth_uuu_index - 12]=0 - for i in range(4,args.simplify): - simplify_arr=[max(math.ceil(x*0.8),5)for x in simplify_arr] + model_input[ifm_converter.mouth_ooo_index - 12] = 0 + model_input[ifm_converter.mouth_iii_index - 12] = 0 + model_input[ifm_converter.mouth_uuu_index - 12] = 0 + for i in range(4, args.simplify): + simplify_arr = [max(math.ceil(x * 0.8), 5) for x in simplify_arr] for i in range(12, len(simplify_arr)): if simplify_arr[i] > 0: model_input[i - 12] = round(model_input[i - 12] * simplify_arr[i]) / simplify_arr[i] @@ -284,8 +304,7 @@ class ModelClientProcess(Process): self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) hit += 1 - if (args.perf) and hit % 20 == 0: - print('cached', str(hit / tot * 100) + '%') + self.cache_hit_ratio.value=hit / tot else: if args.perf: tic = time.perf_counter() @@ -315,6 +334,8 @@ class ModelClientProcess(Process): model_cache[input_hash] = postprocessed_image if len(model_cache) > args.max_cache_len: model_cache.popitem(0) + if args.debug: + self.model_fps_number.value=model_fps() @torch.no_grad() @@ -330,6 +351,8 @@ def main(): print("Character Image Loaded:", args.character) cap = None + output_fps=FPS() + if not args.debug_input: if args.ifm is not None: @@ -391,7 +414,6 @@ def main(): pose_queue = [] blender_data = create_default_blender_data() - tic1 = 0 model_output = None model_process = ModelClientProcess(input_image) @@ -569,6 +591,8 @@ def main(): print("extendmovement", (time.perf_counter() - tic) * 1000) tic = time.perf_counter() + output_fps_number=output_fps() + if args.anime4k: alpha_channel = postprocessed_image[:, :, 3] alpha_channel = cv2.resize(alpha_channel, None, fx=2, fy=2) @@ -595,11 +619,11 @@ def main(): output_frame = cv2.cvtColor(postprocessed_image, cv2.COLOR_RGBA2BGRA) # resized_frame = cv2.resize(output_frame, (np.min(debug_image.shape[:2]), np.min(debug_image.shape[:2]))) # output_frame = np.concatenate([debug_image, resized_frame], axis=1) - toc = time.perf_counter() - fps = 1 / (toc - tic1) - tic1 = toc - cv2.putText(output_frame, str('%.1f' % fps), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) - # cv2.putText(output_frame, str('%.1f' % (missed_count/changed_count*100)), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + cv2.putText(output_frame, str('OUT_FPS:%.1f' % output_fps_number), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + cv2.putText(output_frame, str('INP_FPS:%.1f' % client_process.ifm_fps_number.value), (0, 32), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + cv2.putText(output_frame, str('GPU_FPS:%.1f' % model_process.model_fps_number.value), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + if args.max_cache_len>0: + cv2.putText(output_frame, str('CACHED:%.1f%%' % (model_process.cache_hit_ratio.value*100)), (0, 64), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) cv2.imshow("frame", output_frame) # cv2.imshow("camera", debug_image) cv2.waitKey(1) From 250e71c70058d1d44c36b6d9e77bcd2ca92352d0 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Tue, 24 May 2022 00:27:39 +0800 Subject: [PATCH 18/21] better fps counter --- main.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/main.py b/main.py index 4025fb4..441c101 100644 --- a/main.py +++ b/main.py @@ -620,8 +620,10 @@ def main(): # resized_frame = cv2.resize(output_frame, (np.min(debug_image.shape[:2]), np.min(debug_image.shape[:2]))) # output_frame = np.concatenate([debug_image, resized_frame], axis=1) cv2.putText(output_frame, str('OUT_FPS:%.1f' % output_fps_number), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) - cv2.putText(output_frame, str('INP_FPS:%.1f' % client_process.ifm_fps_number.value), (0, 32), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) - cv2.putText(output_frame, str('GPU_FPS:%.1f' % model_process.model_fps_number.value), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + cv2.putText(output_frame, str('GPU_FPS:%.1f' % model_process.model_fps_number.value), (0, 32), + cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + if args.ifm is not None: + cv2.putText(output_frame, str('IFM_FPS:%.1f' % client_process.ifm_fps_number.value), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) if args.max_cache_len>0: cv2.putText(output_frame, str('CACHED:%.1f%%' % (model_process.cache_hit_ratio.value*100)), (0, 64), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) cv2.imshow("frame", output_frame) From 3cfa72ef891634e7979cdc8da47ac478d5000c7d Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Tue, 24 May 2022 01:53:50 +0800 Subject: [PATCH 19/21] better fps counter --- main.py | 51 +++++++++++++++++++++++++++++++++------------------ 1 file changed, 33 insertions(+), 18 deletions(-) diff --git a/main.py b/main.py index 441c101..04bf565 100644 --- a/main.py +++ b/main.py @@ -79,7 +79,7 @@ class IFMClientProcess(Process): self.should_terminate = Value('b', False) self.address = args.ifm.split(':')[0] self.port = int(args.ifm.split(':')[1]) - self.ifm_fps_number=Value('f',0.0) + self.ifm_fps_number = Value('f', 0.0) self.perf_time = 0 def run(self): @@ -96,8 +96,8 @@ class IFMClientProcess(Process): self.socket.setblocking(False) self.socket.bind(("", self.port)) self.socket.settimeout(0.1) - ifm_fps=FPS() - pre_socket_string='' + ifm_fps = FPS() + pre_socket_string = '' while True: if self.should_terminate.value: break @@ -110,9 +110,9 @@ class IFMClientProcess(Process): else: raise e socket_string = socket_bytes.decode("utf-8") - if args.debug and pre_socket_string!=socket_string: - self.ifm_fps_number.value=ifm_fps() - pre_socket_string=socket_string + if args.debug and pre_socket_string != socket_string: + self.ifm_fps_number.value = ifm_fps() + pre_socket_string = socket_string # print(socket_string) # blender_data = json.loads(socket_string) data = self.convert_from_blender_data(socket_string) @@ -162,8 +162,9 @@ class ModelClientProcess(Process): self.input_image = input_image self.output_queue = Queue() self.input_queue = Queue() - self.model_fps_number=Value('f',0.0) - self.cache_hit_ratio=Value('f',0.0) + self.model_fps_number = Value('f', 0.0) + self.gpu_fps_number = Value('f', 0.0) + self.cache_hit_ratio = Value('f', 0.0) def run(self): model = None @@ -184,6 +185,7 @@ class ModelClientProcess(Process): tot = 0 hit = 0 model_fps = FPS() + gpu_fps = FPS() while True: model_input = None try: @@ -304,7 +306,7 @@ class ModelClientProcess(Process): self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) hit += 1 - self.cache_hit_ratio.value=hit / tot + self.cache_hit_ratio.value = hit / tot else: if args.perf: tic = time.perf_counter() @@ -330,12 +332,14 @@ class ModelClientProcess(Process): tic = time.perf_counter() self.output_queue.put_nowait(postprocessed_image) + if args.debug: + self.gpu_fps_number.value = gpu_fps() if args.max_cache_len > 0: model_cache[input_hash] = postprocessed_image if len(model_cache) > args.max_cache_len: model_cache.popitem(0) if args.debug: - self.model_fps_number.value=model_fps() + self.model_fps_number.value = model_fps() @torch.no_grad() @@ -351,7 +355,7 @@ def main(): print("Character Image Loaded:", args.character) cap = None - output_fps=FPS() + output_fps = FPS() if not args.debug_input: @@ -591,7 +595,7 @@ def main(): print("extendmovement", (time.perf_counter() - tic) * 1000) tic = time.perf_counter() - output_fps_number=output_fps() + output_fps_number = output_fps() if args.anime4k: alpha_channel = postprocessed_image[:, :, 3] @@ -619,13 +623,24 @@ def main(): output_frame = cv2.cvtColor(postprocessed_image, cv2.COLOR_RGBA2BGRA) # resized_frame = cv2.resize(output_frame, (np.min(debug_image.shape[:2]), np.min(debug_image.shape[:2]))) # output_frame = np.concatenate([debug_image, resized_frame], axis=1) - cv2.putText(output_frame, str('OUT_FPS:%.1f' % output_fps_number), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) - cv2.putText(output_frame, str('GPU_FPS:%.1f' % model_process.model_fps_number.value), (0, 32), - cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + cv2.putText(output_frame, str('OUT_FPS:%.1f' % output_fps_number), (0, 16), cv2.FONT_HERSHEY_PLAIN, 1, + (0, 255, 0), 1) + if args.max_cache_len > 0: + cv2.putText(output_frame, str( + 'GPU_FPS:%.1f / %.1f' % (model_process.model_fps_number.value, model_process.gpu_fps_number.value)), + (0, 32), + cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + else: + cv2.putText(output_frame, str( + 'GPU_FPS:%.1f' % (model_process.model_fps_number.value)), + (0, 32), + cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) if args.ifm is not None: - cv2.putText(output_frame, str('IFM_FPS:%.1f' % client_process.ifm_fps_number.value), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) - if args.max_cache_len>0: - cv2.putText(output_frame, str('CACHED:%.1f%%' % (model_process.cache_hit_ratio.value*100)), (0, 64), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + cv2.putText(output_frame, str('IFM_FPS:%.1f' % client_process.ifm_fps_number.value), (0, 48), + cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + if args.max_cache_len > 0: + cv2.putText(output_frame, str('CACHED:%.1f%%' % (model_process.cache_hit_ratio.value * 100)), (0, 64), + cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) cv2.imshow("frame", output_frame) # cv2.imshow("camera", debug_image) cv2.waitKey(1) From ca0839c0bddf45859a08a67d0cf001bf09f9dfe3 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Tue, 24 May 2022 21:40:46 +0800 Subject: [PATCH 20/21] gpu_cache --- args.py | 7 ++++++- main.py | 14 ++++++++++---- models.py | 22 ++++++++++++++++++++-- 3 files changed, 36 insertions(+), 7 deletions(-) diff --git a/args.py b/args.py index ea13ae3..368d1d1 100644 --- a/args.py +++ b/args.py @@ -24,7 +24,8 @@ parser.add_argument('--skip_model', action='store_true') parser.add_argument('--ifm', type=str) parser.add_argument('--anime4k', action='store_true') parser.add_argument('--alpha_split', action='store_true') -parser.add_argument('--cache', type=str, default='100mb') +parser.add_argument('--cache', type=str, default='256mb') +parser.add_argument('--gpu_cache', type=str, default='512mb') parser.add_argument('--simplify', type=int, default=1) args = parser.parse_args() args.output_w = int(args.output_size.split('x')[0]) @@ -33,4 +34,8 @@ if args.cache is not None: args.max_cache_len=int(convert_to_byte(args.cache)/262144) else: args.max_cache_len=0 +if args.gpu_cache is not None: + args.max_gpu_cache_len=int(convert_to_byte(args.gpu_cache)/589824) +else: + args.max_gpu_cache_len=0 if args.output_webcam is None and args.output_dir is None: args.debug = True \ No newline at end of file diff --git a/main.py b/main.py index 04bf565..36d7f49 100644 --- a/main.py +++ b/main.py @@ -165,6 +165,7 @@ class ModelClientProcess(Process): self.model_fps_number = Value('f', 0.0) self.gpu_fps_number = Value('f', 0.0) self.cache_hit_ratio = Value('f', 0.0) + self.gpu_cache_hit_ratio= Value('f', 0.0) def run(self): model = None @@ -302,22 +303,23 @@ class ModelClientProcess(Process): input_hash = hash(tuple(model_input)) cached = model_cache.get(input_hash) tot += 1 + mouth_eye_vector_c=[0.0]*27 if not cached is None: self.output_queue.put_nowait(cached) model_cache.move_to_end(input_hash) hit += 1 - self.cache_hit_ratio.value = hit / tot else: if args.perf: tic = time.perf_counter() for i in range(27): mouth_eye_vector[0, i] = model_input[i] + mouth_eye_vector_c[i]=model_input[i] for i in range(3): pose_vector[0, i] = model_input[i + 27] if model is None: output_image = input_image else: - output_image = model(input_image, mouth_eye_vector, pose_vector) + output_image = model(input_image, mouth_eye_vector, pose_vector, mouth_eye_vector_c,self.gpu_cache_hit_ratio) if args.perf: torch.cuda.synchronize() print("model", (time.perf_counter() - tic) * 1000) @@ -337,9 +339,10 @@ class ModelClientProcess(Process): if args.max_cache_len > 0: model_cache[input_hash] = postprocessed_image if len(model_cache) > args.max_cache_len: - model_cache.popitem(0) + model_cache.popitem(last=False) if args.debug: self.model_fps_number.value = model_fps() + self.cache_hit_ratio.value = hit / tot @torch.no_grad() @@ -639,7 +642,10 @@ def main(): cv2.putText(output_frame, str('IFM_FPS:%.1f' % client_process.ifm_fps_number.value), (0, 48), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) if args.max_cache_len > 0: - cv2.putText(output_frame, str('CACHED:%.1f%%' % (model_process.cache_hit_ratio.value * 100)), (0, 64), + cv2.putText(output_frame, str('MEMCACHED:%.1f%%' % (model_process.cache_hit_ratio.value * 100)), (0, 64), + cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) + if args.max_gpu_cache_len > 0: + cv2.putText(output_frame, str('GPUCACHED:%.1f%%' % (model_process.gpu_cache_hit_ratio.value * 100)), (0, 80), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1) cv2.imshow("frame", output_frame) # cv2.imshow("camera", debug_image) diff --git a/models.py b/models.py index e7bcf07..09f415b 100644 --- a/models.py +++ b/models.py @@ -6,18 +6,36 @@ from tha2.poser.modes.mode_20 import load_face_morpher, load_face_rotater, load_ from args import args +from collections import OrderedDict + class TalkingAnimeLight(nn.Module): def __init__(self): super(TalkingAnimeLight, self).__init__() self.face_morpher = load_face_morpher('pretrained/face_morpher.pt') self.two_algo_face_rotator = load_face_rotater('pretrained/two_algo_face_rotator.pt') self.combiner = load_combiner('pretrained/combiner.pt') + self.face_cache = OrderedDict() + self.tot = 0 + self.hit = 0 - def forward(self, image, mouth_eye_vector, pose_vector): + def forward(self, image, mouth_eye_vector, pose_vector, mouth_eye_vector_c, ratio=None): x = image.clone() if args.perf: tic=time.perf_counter() - mouth_eye_morp_image = self.face_morpher(image[:, :, 32:224, 32:224], mouth_eye_vector) + input_hash = hash(tuple(mouth_eye_vector_c)) + cached = self.face_cache.get(input_hash) + self.tot+=1 + if cached is None: + mouth_eye_morp_image = self.face_morpher(image[:, :, 32:224, 32:224], mouth_eye_vector) + self.face_cache[input_hash]=mouth_eye_morp_image.detach() + if len(self.face_cache) > args.max_gpu_cache_len: + self.face_cache.popitem(last=False) + else: + self.hit+=1 + mouth_eye_morp_image=cached + self.face_cache.move_to_end(input_hash) + if args.debug and ratio is not None: + ratio.value=self.hit / self.tot if args.perf: print(" - face_morpher",(time.perf_counter()-tic)*1000) tic=time.perf_counter() From b88cdcc615db923443a27b64846d5392d38b2fb6 Mon Sep 17 00:00:00 2001 From: yuyuyzl Date: Tue, 24 May 2022 22:28:19 +0800 Subject: [PATCH 21/21] gpu_cache --- launcher.py | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/launcher.py b/launcher.py index 5ac88fe..e94259e 100644 --- a/launcher.py +++ b/launcher.py @@ -65,15 +65,17 @@ ttk.Radiobutton(launcher, text='Low', value=1, variable=cache_simplify).pack(fil ttk.Radiobutton(launcher, text='Medium', value=2, variable=cache_simplify).pack(fill='x', expand=True) ttk.Radiobutton(launcher, text='High', value=3, variable=cache_simplify).pack(fill='x', expand=True) ttk.Radiobutton(launcher, text='Higher', value=4, variable=cache_simplify).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='Highest', value=6, variable=cache_simplify).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='Gaming', value=8, variable=cache_simplify).pack(fill='x', expand=True) -ttk.Label(launcher, text="Cache Size").pack(fill='x', expand=True) +ttk.Label(launcher, text="Cache Size (RAM+VRAM)").pack(fill='x', expand=True) cache_size = tk.IntVar(value=args['cache_size']) ttk.Radiobutton(launcher, text='Off', value=0, variable=cache_size).pack(fill='x', expand=True) -ttk.Radiobutton(launcher, text='256M', value=1, variable=cache_size).pack(fill='x', expand=True) -ttk.Radiobutton(launcher, text='1GB', value=2, variable=cache_size).pack(fill='x', expand=True) -ttk.Radiobutton(launcher, text='2GB', value=3, variable=cache_size).pack(fill='x', expand=True) -ttk.Radiobutton(launcher, text='4GB', value=4, variable=cache_size).pack(fill='x', expand=True) -ttk.Radiobutton(launcher, text='8GB', value=5, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='256M+128M', value=1, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='1GB+512M', value=2, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='2GB+1GB', value=3, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='4GB+2GB', value=4, variable=cache_size).pack(fill='x', expand=True) +ttk.Radiobutton(launcher, text='8GB+4GB', value=5, variable=cache_size).pack(fill='x', expand=True) ttk.Label(launcher, text="Extra Options").pack(fill='x', expand=True) is_extend_movement = tk.BooleanVar(value=args['is_extend_movement']) @@ -151,6 +153,8 @@ def launch(): if args['cache_size'] is not None: run_args.append('--cache') run_args.append(['0b','256mb','1gb','2gb','4gb','8gb'][args['cache_size']]) + run_args.append('--gpu_cache') + run_args.append(['0b','128mb','512mb','1gb','2gb','4gb'][args['cache_size']]) run_args.append('--output_size') run_args.append('512x512') print(run_args)