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| import gradio as gr | |
| import os | |
| import cv2 | |
| import numpy as np | |
| from PIL import Image | |
| from moviepy.editor import * | |
| import sys | |
| sys.path.append('FollowYourPose') | |
| def get_frames(video_in): | |
| frames = [] | |
| #resize the video | |
| clip = VideoFileClip(video_in) | |
| start_frame = 0 # 起始帧数 | |
| end_frame = 50 # 结束帧数 | |
| if not os.path.exists('./raw_frames'): | |
| os.makedirs('./raw_frames') | |
| if not os.path.exists('./mmpose_frames'): | |
| os.makedirs('./mmpose_frames') | |
| #check fps | |
| if clip.fps > 30: | |
| print("vide rate is over 30, resetting to 30") | |
| clip_resized = clip.resize(height=512) | |
| clip_resized = clip_resized.subclip(start_frame / clip_resized.fps, end_frame / clip_resized.fps) # subclip 2 seconds | |
| clip_resized.write_videofile("./video_resized.mp4", fps=30) | |
| else: | |
| print("video rate is OK") | |
| clip_resized = clip.resize(height=512) | |
| clip_resized = clip_resized.subclip(start_frame / clip.fps, end_frame / clip.fps) # subclip 5 seconds | |
| clip_resized.write_videofile("./video_resized.mp4", fps=clip.fps) | |
| print("video resized to 512 height") | |
| # Opens the Video file with CV2 | |
| cap= cv2.VideoCapture("./video_resized.mp4") | |
| fps = cap.get(cv2.CAP_PROP_FPS) | |
| print("video fps: " + str(fps)) | |
| i=0 | |
| while(cap.isOpened()): | |
| ret, frame = cap.read() | |
| if ret == False: | |
| break | |
| cv2.imwrite('./raw_frames/kang'+str(i)+'.jpg',frame) | |
| frames.append('./raw_frames/kang'+str(i)+'.jpg') | |
| i+=1 | |
| cap.release() | |
| cv2.destroyAllWindows() | |
| print("broke the video into frames") | |
| return frames, fps | |
| def get_mmpose_filter(mmpose, i): | |
| #image = Image.open(i) | |
| #image = np.array(image) | |
| image = mmpose(i, fn_index=0)[1] | |
| image = Image.open(image) | |
| #image = Image.fromarray(image) | |
| image.save("./mmpose_frames/mmpose_frame_" + str(i).split('/')[-1][:-4] + ".jpeg") | |
| return "./mmpose_frames/mmpose_frame_" + str(i).split('/')[-1][:-4] + ".jpeg" | |
| def create_video(frames, fps, type): | |
| print("building video result") | |
| clip = ImageSequenceClip(frames, fps=fps) | |
| clip.write_videofile(type + "_result.mp4", fps=fps) | |
| return type + "_result.mp4" | |
| def infer_skeleton(mmpose, video_in): | |
| # 1. break video into frames and get FPS | |
| break_vid = get_frames(video_in) | |
| frames_list= break_vid[0] | |
| fps = break_vid[1] | |
| #n_frame = int(trim_value*fps) | |
| n_frame = len(frames_list) | |
| if n_frame >= len(frames_list): | |
| print("video is shorter than the cut value") | |
| n_frame = len(frames_list) | |
| # 2. prepare frames result arrays | |
| result_frames = [] | |
| print("set stop frames to: " + str(n_frame)) | |
| for i in frames_list[0:int(n_frame)]: | |
| mmpose_frame = get_mmpose_filter(mmpose, i) | |
| result_frames.append(mmpose_frame) | |
| print("frame " + i + "/" + str(n_frame) + ": done;") | |
| final_vid = create_video(result_frames, fps, "mmpose") | |
| files = [final_vid] | |
| return final_vid, files |