inference_mmpose.py

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