Commit
•
57ecc83
1
Parent(s):
7816559
First commit
Browse files- app.py +90 -0
- requirements.txt +2 -0
- style.css +60 -0
- train_7best.pt +3 -0
app.py
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from typing import List
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import gradio as gr
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import supervision as sv
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import torch
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from PIL import Image
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from ultralytics import YOLO
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MARKDOWN = """
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# Orang Outan Detection
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"""
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EXAMPLES = []
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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YOLO_MODEL = YOLO("train_7best.pt")
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BOX_ANNOTATOR = sv.BoxAnnotator()
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def annotate(
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image_bgr_numpy: Image.Image,
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detections: sv.Detections,
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annotator: sv.BoxAnnotator,
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labels: str,
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) -> Image.Image:
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annotated_bgr_image = annotator.annotate(
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scene=image_bgr_numpy, detections=detections, labels=labels
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)
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return Image.fromarray(annotated_bgr_image[:, :, ::-1])
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def inference(image_rgb_pil: Image.Image, confidence: float) -> List[Image.Image]:
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output = YOLO_MODEL(image_rgb_pil, verbose=False)[0]
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detections = sv.Detections.from_ultralytics(output)
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detections = detections[detections.confidence >= confidence]
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labels = [
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f"{output.names[class_id]} {confidence:0.2f}"
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for _, _, confidence, class_id, _ in detections
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]
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return annotate(
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image_bgr_numpy=output.orig_img.copy(),
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detections=detections,
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annotator=BOX_ANNOTATOR,
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labels=labels,
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)
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def run_demo():
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custom_theme = gr.themes.Soft(primary_hue="blue").set(
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button_secondary_background_fill="*neutral_100",
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button_secondary_background_fill_hover="*neutral_200",
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)
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with gr.Blocks(theme=custom_theme, css="style.css") as demo:
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gr.Markdown(MARKDOWN)
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(image_mode="RGB", type="pil", height=500)
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confidence_slider = gr.Slider(
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label="Confidence", minimum=0.1, maximum=1.0, step=0.05, value=0.6
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)
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submit_button = gr.Button("Submit")
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output_image = gr.Image(label="Results", type="pil")
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# with gr.Row():
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# gr.Examples(
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# examples=EXAMPLES,
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# fn=inference,
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# inputs=[input_image, prompt_text, confidence_slider],
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# outputs=[gallery],
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# cache_examples=True,
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# run_on_click=True
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# )
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submit_button.click(
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inference,
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inputs=[input_image, confidence_slider],
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outputs=output_image,
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queue=True,
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)
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demo.queue(max_size=20, api_open=False).launch()
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if __name__ == "__main__":
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run_demo()
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requirements.txt
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supervision
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ultralytics
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style.css
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#disp_image {
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text-align: center;
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/* Horizontally center the content */
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}
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#share-btn-container {
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padding-left: 0.5rem !important;
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padding-right: 0.5rem !important;
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background-color: #000000;
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justify-content: center;
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align-items: center;
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border-radius: 9999px !important;
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max-width: 13rem;
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margin-left: auto;
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}
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div#share-btn-container>div {
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flex-direction: row;
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background: black;
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align-items: center
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}
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#share-btn-container:hover {
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background-color: #060606
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}
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#share-btn {
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all: initial;
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color: #ffffff;
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font-weight: 600;
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cursor: pointer;
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font-family: 'IBM Plex Sans', sans-serif;
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margin-left: 0.5rem !important;
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padding-top: 0.5rem !important;
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padding-bottom: 0.5rem !important;
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right: 0;
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}
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#share-btn * {
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all: unset
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}
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#share-btn-container div:nth-child(-n+2) {
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width: auto !important;
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min-height: 0px !important;
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}
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#share-btn-container .wrap {
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display: none !important
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}
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#share-btn-container.hidden {
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display: none !important
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}
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#duplicate-button {
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margin-left: auto;
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color: #fff;
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background: #1565c0;
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}
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train_7best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b07359a9e5d652236f17c62e37a959918427261f84a24b09f0b111ca67b8925
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size 6237657
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