Create app_d.py

app_d.py

@@ -0,0 +1,219 @@
+from __future__ import annotations
+import gradio as gr
+import os
+import cv2
+import numpy as np
+from PIL import Image
+from moviepy.editor import *
+from share_btn import community_icon_html, loading_icon_html, share_js
+
+import pathlib
+import shlex
+import subprocess
+
+if os.getenv('SYSTEM') == 'spaces':
+    with open('patch') as f:
+        subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet')
+
+base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/'
+
+names = [
+    'body_pose_model.pth',
+    'dpt_hybrid-midas-501f0c75.pt',
+    'hand_pose_model.pth',
+    'mlsd_large_512_fp32.pth',
+    'mlsd_tiny_512_fp32.pth',
+    'network-bsds500.pth',
+    'upernet_global_small.pth',
+]
+
+for name in names:
+    command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}'
+    out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}')
+    if out_path.exists():
+        continue
+    subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')
+
+from model import Model
+model = Model()
+
+
+def controlnet(i, prompt, seed_in):
+    a_prompt = "best quality, extremely detailed"
+    n_prompt = "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"
+    num_samples = 1
+    image_resolution = 512
+    detect_resolution = 512
+    ddim_steps = 20
+    scale = 9.0
+    eta = 0.0
+    
+    result = model.process_pose(i, prompt, a_prompt, n_prompt, num_samples,
+            image_resolution, detect_resolution, ddim_steps, scale, seed_in, eta)
+    print(result)
+    return 'done'
+
+
+def get_frames(video_in):
+    frames = []
+    #resize the video
+    clip = VideoFileClip(video_in)
+    
+    #check fps
+    if clip.fps > 30:
+        print("vide rate is over 30, resetting to 30")
+        clip_resized = clip.resize(height=512)
+        clip_resized.write_videofile("video_resized.mp4", fps=30)
+    else:
+        print("video rate is OK")
+        clip_resized = clip.resize(height=512)
+        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('kang'+str(i)+'.jpg',frame)
+        frames.append('kang'+str(i)+'.jpg')
+        i+=1
+    
+    cap.release()
+    cv2.destroyAllWindows()
+    print("broke the video into frames")
+    
+    return frames, fps
+
+
+def create_video(frames, fps):
+    print("building video result")
+    clip = ImageSequenceClip(frames, fps=fps)
+    clip.write_videofile("movie.mp4", fps=fps)
+    
+    return 'movie.mp4'
+
+
+def infer(prompt,video_in, seed_in, trim_value):
+    print(f"""
+    ———————————————
+    {prompt}
+    ———————————————""")
+    
+    # 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)
+    
+    if n_frame >= len(frames_list):
+        print("video is shorter than the cut value")
+        n_frame = len(frames_list)
+    
+    # 2. prepare frames result array
+    result_frames = []
+    print("set stop frames to: " + str(n_frame))
+    
+    for i in frames_list[0:int(n_frame)]:
+        controlnet_img = controlnet(i, prompt, seed_in)
+        #images = controlnet_img[0]
+        #rgb_im = images[0].convert("RGB")
+  
+        # exporting the image
+        #rgb_im.save(f"result_img-{i}.jpg")
+        #result_frames.append(f"result_img-{i}.jpg")
+        #print("frame " + i + "/" + str(n_frame) + ": done;")
+
+    #final_vid = create_video(result_frames, fps)
+    print("finished !")
+    
+    #return final_vid, gr.Group.update(visible=True)
+    return controlnet_img
+
+title = """
+    <div style="text-align: center; max-width: 700px; margin: 0 auto;">
+        <div
+        style="
+            display: inline-flex;
+            align-items: center;
+            gap: 0.8rem;
+            font-size: 1.75rem;
+        "
+        >
+        <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
+            Pix2Pix Video
+        </h1>
+        </div>
+        <p style="margin-bottom: 10px; font-size: 94%">
+        Apply Instruct Pix2Pix Diffusion to a video 
+        </p>
+    </div>
+"""
+
+article = """
+    
+    <div class="footer">
+        <p>
+        Examples by <a href="https://twitter.com/CitizenPlain" target="_blank">Nathan Shipley</a> •&nbsp;
+        Follow <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a> for future updates 🤗
+        </p>
+    </div>
+    <div id="may-like-container" style="display: flex;justify-content: center;flex-direction: column;align-items: center;margin-bottom: 30px;">
+        <p>You may also like: </p>
+        <div id="may-like-content" style="display:flex;flex-wrap: wrap;align-items:center;height:20px;">
+            
+            <svg height="20" width="162" style="margin-left:4px;margin-bottom: 6px;">       
+                 <a href="https://huggingface.co/spaces/timbrooks/instruct-pix2pix" target="_blank">
+                    <image href="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue" src="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue.png" height="20"/>
+                 </a>
+            </svg>
+            
+        </div>
+    
+    </div>
+    
+"""
+
+with gr.Blocks(css='style.css') as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.HTML(title)
+        with gr.Row():
+            with gr.Column():
+                video_inp = gr.Video(label="Video source", source="upload", type="filepath", elem_id="input-vid")
+                prompt = gr.Textbox(label="Prompt", placeholder="enter prompt", show_label=False, elem_id="prompt-in")
+                with gr.Row():
+                    seed_inp = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, value=123456)
+                    trim_in = gr.Slider(label="Cut video at (s)", minimun=1, maximum=5, step=1, value=1)
+            with gr.Column():
+                status = gr.Textbox()
+                video_out = gr.Video(label="Pix2pix video result", elem_id="video-output")
+                gr.HTML("""
+                <a style="display:inline-block" href="https://huggingface.co/spaces/fffiloni/Pix2Pix-Video?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a> 
+                work with longer videos / skip the queue: 
+                """, elem_id="duplicate-container")
+                submit_btn = gr.Button("Generate Pix2Pix video")
+
+                with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
+                    community_icon = gr.HTML(community_icon_html)
+                    loading_icon = gr.HTML(loading_icon_html)
+                    share_button = gr.Button("Share to community", elem_id="share-btn")
+        
+        inputs = [prompt,video_inp,seed_inp, trim_in]
+        #outputs = [video_out, share_group]
+        outputs = [status]
+        
+        
+        gr.HTML(article)
+    
+    submit_btn.click(infer, inputs, outputs)
+    share_button.click(None, [], [], _js=share_js)
+
+    
+    
+demo.launch().queue(max_size=12)