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Running
try: | |
import detectron2 | |
except: | |
import os | |
os.system('pip install git+https://github.com/facebookresearch/detectron2.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 | |
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) | |
return insectsam_result, yolo_result, detectron_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")], | |
title="Insect Model Zoo ππ¬", | |
examples=examples | |
).launch() | |