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Duplicate from fffiloni/video2openpose
Browse files- .gitattributes +34 -0
- README.md +13 -0
- app.py +135 -0
- requirements.txt +5 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: Video To Canny Edge
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emoji: 🏢
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colorFrom: yellow
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colorTo: blue
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sdk: gradio
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sdk_version: 3.23.0
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app_file: app.py
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pinned: false
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duplicated_from: fffiloni/video2openpose
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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from controlnet_aux import OpenposeDetector
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import os
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import cv2
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import numpy as np
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from PIL import Image
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from moviepy.editor import *
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openpose = OpenposeDetector.from_pretrained('lllyasviel/ControlNet')
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def get_frames(video_in):
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frames = []
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#resize the video
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clip = VideoFileClip(video_in)
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#check fps
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if clip.fps > 30:
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print("vide rate is over 30, resetting to 30")
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clip_resized = clip.resize(height=512)
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clip_resized.write_videofile("video_resized.mp4", fps=30)
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else:
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print("video rate is OK")
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clip_resized = clip.resize(height=512)
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clip_resized.write_videofile("video_resized.mp4", fps=clip.fps)
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print("video resized to 512 height")
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# Opens the Video file with CV2
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cap= cv2.VideoCapture("video_resized.mp4")
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fps = cap.get(cv2.CAP_PROP_FPS)
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print("video fps: " + str(fps))
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i=0
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while(cap.isOpened()):
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ret, frame = cap.read()
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if ret == False:
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break
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cv2.imwrite('kang'+str(i)+'.jpg',frame)
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frames.append('kang'+str(i)+'.jpg')
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i+=1
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cap.release()
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cv2.destroyAllWindows()
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print("broke the video into frames")
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return frames, fps
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def get_canny_filter(i):
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image = Image.open(i)
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image = np.array(image)
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image = openpose(image)
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image = Image.fromarray(image)
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image.save("canny_frame_" + str(i) + ".jpeg")
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return "canny_frame_" + str(i) + ".jpeg"
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def create_video(frames, fps, type):
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print("building video result")
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clip = ImageSequenceClip(frames, fps=fps)
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clip.write_videofile(type + "_result.mp4", fps=fps)
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return type + "_result.mp4"
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def convertG2V(imported_gif):
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clip = VideoFileClip(imported_gif.name)
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clip.write_videofile("my_gif_video.mp4")
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return "my_gif_video.mp4"
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def infer(video_in):
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# 1. break video into frames and get FPS
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break_vid = get_frames(video_in)
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frames_list= break_vid[0]
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fps = break_vid[1]
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#n_frame = int(trim_value*fps)
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n_frame = len(frames_list)
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if n_frame >= len(frames_list):
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print("video is shorter than the cut value")
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n_frame = len(frames_list)
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# 2. prepare frames result arrays
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result_frames = []
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print("set stop frames to: " + str(n_frame))
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for i in frames_list[0:int(n_frame)]:
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canny_frame = get_canny_filter(i)
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result_frames.append(canny_frame)
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print("frame " + i + "/" + str(n_frame) + ": done;")
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final_vid = create_video(result_frames, fps, "canny")
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files = [final_vid]
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return final_vid, files
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title="""
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<div style="text-align: center; max-width: 500px; margin: 0 auto;">
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<div
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style="
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display: inline-flex;
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align-items: center;
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gap: 0.8rem;
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font-size: 1.75rem;
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margin-bottom: 10px;
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"
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>
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<h1 style="font-weight: 600; margin-bottom: 7px;">
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Video to Canny Edge
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</h1>
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</div>
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</div>
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"""
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with gr.Blocks() as demo:
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with gr.Column():
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gr.HTML(title)
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with gr.Row():
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with gr.Column():
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video_input = gr.Video(source="upload", type="filepath")
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gif_input = gr.File(label="import a GIF instead", file_types=['.gif'])
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gif_input.change(fn=convertG2V, inputs=gif_input, outputs=video_input)
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submit_btn = gr.Button("Submit")
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with gr.Column():
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video_output = gr.Video()
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file_output = gr.Files()
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submit_btn.click(fn=infer, inputs=[video_input], outputs=[video_output, file_output])
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demo.launch()
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requirements.txt
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diffusers==0.14.0
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opencv-python
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ffmpeg-python
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moviepy
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controlnet_aux
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