app.py

import spaces # on top as CUDA needs to be initialized after `spaces`
import os

try:
    import detectron2
except ImportError:
    import os
    os.system('pip install git+https://github.com/facebookresearch/detectron2.git')

try:
    from segment_anything import build_sam, SamPredictor
except ImportError:
    import os
    os.system('pip install git+https://github.com/facebookresearch/segment-anything.git')
    from segment_anything import build_sam, SamPredictor

try:
    import grounded_dino
except ImportError:
    import os
    os.system('pip install transformers')
    os.system('pip install git+https://github.com/IDEA-Research/GroundingDINO.git')

import gradio as gr
import json
import numpy as np
from sam_utils import grounded_segmentation, create_yellow_background_with_insects
from yolo_utils import yolo_processimage
from detectron_utils import detectron_process_image
from gsl_utils import gsl_process_image

@spaces.GPU
def process_image(image, include_json):
    detectron_result = detectron_process_image(image)
    yolo_result = yolo_processimage(image)
    insectsam_result = create_yellow_background_with_insects(image)
    gsl_result = gsl_process_image(image)

    return insectsam_result, yolo_result, detectron_result, gsl_result

examples = [
    ["imgs/demo.jpg"],
    ["imgs/demo1.jpg"],
    ["imgs/demo2.jpg"],
    ["imgs/demo3.jpg"],
    ["imgs/demo4.jpg"],
    ["imgs/demo5.jpg"],
]

gr.Interface(
    fn=process_image,
    inputs=[gr.Image(type="pil")],
    outputs=[
        gr.Image(label='InsectSAM', type="numpy"),
        gr.Image(label='Yolov8', type="numpy"),
        gr.Image(label='Detectron', type="numpy"),
        gr.Image(label='GSL', type="numpy")
    ],
    title="Insect Model Zoo 🐞🔬",
    examples=examples
).launch()