Spaces:
Runtime error
Runtime error
File size: 3,098 Bytes
f4c8778 4748ebe f4c8778 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 |
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 |