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Commit ·
6bae95f
1
Parent(s): 34001e2
feat: upload example
Browse files
app.py
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import os
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import time
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import tempfile
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import cv2
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import streamlit as st
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from ultralytics import YOLO
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from huggingface_hub import hf_hub_url, cached_download
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repo_id = "BreakIntoData/cv_workshop"
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filename = "soccer_ball.pt"
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#
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#
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# Rename the file to have a .pt extension
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new_cached_model_path = f"{cached_model_path}.pt"
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os.rename(cached_model_path, new_cached_model_path)
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# Load the model using YOLO from the cached model file
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return YOLO(new_cached_model_path)
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def process_video(video_path, output_path):
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cap = cv2.VideoCapture(video_path)
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width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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fps = int(cap.get(cv2.CAP_PROP_FPS))
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total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
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fourcc = cv2.VideoWriter_fourcc(*'avc1')
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out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
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progress_text = "Processing video... Please wait."
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progress_bar = st.progress(0)
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status_text = st.empty()
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time_text = st.empty()
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start_time = time.time()
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for frame_num in range(total_frames):
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ret, frame = cap.read()
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if not ret:
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break
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results = model(frame)
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annotated_frame = results[0].plot()
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out.write(annotated_frame)
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# Update progress
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progress = (frame_num + 1) / total_frames
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elapsed_time = time.time() - start_time
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estimated_total_time = elapsed_time / progress
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remaining_time = estimated_total_time - elapsed_time
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progress_bar.progress(progress)
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status_text.text(f"Processing frame {frame_num+1}/{total_frames}")
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time_text.text(f"Elapsed time: {elapsed_time:.2f}s | Estimated time remaining: {remaining_time:.2f}s")
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cap.release()
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out.release()
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progress_bar.empty()
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status_text.text(f"Processed {total_frames} frames")
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time_text.text(f"Total time: {time.time() - start_time:.2f}s")
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model = load_model()
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st.title("Soccer Ball Detection App")
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# Sidebar for options
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st.sidebar.header("Options")
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video_option = st.sidebar.radio("Choose video source:", ("Use preset video", "Upload video"))
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if video_option == "Upload video":
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uploaded_file = st.sidebar.file_uploader("Choose a video file", type=["mp4", "avi", "mov"])
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if uploaded_file is not None:
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tfile = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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tfile.write(uploaded_file.read())
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video_path = tfile.name
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else:
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preset_videos = {
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"Ronaldo": "preset_videos/Ronaldo.mp4",
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"Sancho": "preset_videos/CityUtdR video.mp4",
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"Messi": "preset_videos/Messi.mp4",
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}
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selected_video = st.sidebar.selectbox("Select a preset video", list(preset_videos.keys()))
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video_path = preset_videos[selected_video]
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if 'video_path' in locals():
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st.header("Original Video")
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st.video(video_path)
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if st.button("Detect"):
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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with st.spinner("Processing video..."):
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process_video(video_path, temp_file.name)
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st.success("Video processing complete!")
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st.header("Processed Video")
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st.video(temp_file.name)
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# Add download link
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with open(temp_file.name, "rb") as file:
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btn = st.download_button(
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label="Download Video",
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data=file,
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file_name="processed_video.mp4",
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mime="video/mp4"
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)
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# # Clean up temporary files
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# os.unlink(temp_file.name)
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if video_option == "Upload video":
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os.unlink(video_path)
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st.sidebar.markdown("---")
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st.sidebar.write("Developed with ❤️ by Break Into Data")
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import streamlit as st
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def main():
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st.title('Example App')
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# Slider for input
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number = st.slider('Select a number', 0, 100, 25)
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# Calculate the square of the number
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square = number ** 2
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# Display the result
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st.write('The square of', number, 'is', square)
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if __name__ == "__main__":
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main()
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