Spaces:
Sleeping
Sleeping
Martin Tomov
commited on
rm spaces
Browse files
app.py
CHANGED
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@@ -1,42 +1,21 @@
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import spaces # on top as CUDA needs to be initialized after `spaces`
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import os
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try:
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import detectron2
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except
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import os
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os.system('pip install git+https://github.com/facebookresearch/detectron2.git')
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try:
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from segment_anything import build_sam, SamPredictor
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except ImportError:
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import os
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os.system('pip install git+https://github.com/facebookresearch/segment-anything.git')
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from segment_anything import build_sam, SamPredictor
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try:
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import grounded_dino
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except ImportError:
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import os
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os.system('pip install transformers')
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os.system('pip install git+https://github.com/IDEA-Research/GroundingDINO.git')
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import gradio as gr
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import json
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import numpy as np
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from sam_utils import grounded_segmentation, create_yellow_background_with_insects
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from yolo_utils import yolo_processimage
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from detectron_utils import detectron_process_image
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from gsl_utils import gsl_process_image
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@spaces.GPU
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def process_image(image, include_json):
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detectron_result
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yolo_result = yolo_processimage(image)
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insectsam_result = create_yellow_background_with_insects(image)
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gsl_result = gsl_process_image(image)
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return insectsam_result, yolo_result, detectron_result
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examples = [
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["imgs/demo.jpg"],
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@@ -50,12 +29,9 @@ examples = [
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gr.Interface(
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fn=process_image,
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inputs=[gr.Image(type="pil")],
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outputs=[
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gr.Image(label='Detectron', type="numpy"),
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gr.Image(label='GSL', type="numpy")
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],
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title="Insect Model Zoo ππ¬",
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examples=examples
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).launch()
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try:
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import detectron2
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except:
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import os
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os.system('pip install git+https://github.com/facebookresearch/detectron2.git')
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import gradio as gr
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import json
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import numpy as np
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from sam_utils import grounded_segmentation, create_yellow_background_with_insects
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from yolo_utils import yolo_processimage
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from detectron_utils import detectron_process_image
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def process_image(image, include_json):
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detectron_result=detectron_process_image(image)
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yolo_result = yolo_processimage(image)
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insectsam_result = create_yellow_background_with_insects(image)
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return insectsam_result, yolo_result, detectron_result
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examples = [
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["imgs/demo.jpg"],
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gr.Interface(
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fn=process_image,
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inputs=[gr.Image(type="pil")],
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outputs=[gr.Image(label='InsectSAM', type="numpy"),
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gr.Image(label='Yolov8', type="numpy"),
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gr.Image(label='Detectron', type="numpy")],
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title="Insect Model Zoo ππ¬",
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examples=examples
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).launch()
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