Update app.py
Browse files
app.py
CHANGED
|
@@ -7,21 +7,26 @@ from PIL import Image
|
|
| 7 |
#subprocess.run(["mv","content/custom_data.yaml","./yolov5/data"])
|
| 8 |
|
| 9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
|
| 11 |
-
model = torch.hub.load('ultralytics/yolov5', 'custom', path='Content/best.pt')
|
| 12 |
-
model.conf = 0.38
|
| 13 |
-
model.hide_conf=True
|
| 14 |
#, force_reload=True
|
| 15 |
def detect(inp):
|
| 16 |
#g = (size / max(inp.size)) # gain
|
| 17 |
#im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS) # resize
|
| 18 |
-
|
| 19 |
results = model(inp,size=640) # inference
|
| 20 |
results.render() # updates results.imgs with boxes and labels
|
| 21 |
return Image.fromarray(results.imgs[0])
|
| 22 |
|
| 23 |
|
| 24 |
-
inp = gr.inputs.Image(type=
|
| 25 |
output = gr.outputs.Image(type="pil", label="Output Image")
|
| 26 |
|
| 27 |
|
|
|
|
| 7 |
#subprocess.run(["mv","content/custom_data.yaml","./yolov5/data"])
|
| 8 |
|
| 9 |
|
| 10 |
+
def load_model():
|
| 11 |
+
'''
|
| 12 |
+
Loading hub model & setting the preferences for the model
|
| 13 |
+
'''
|
| 14 |
+
model = torch.hub.load('ultralytics/yolov5', 'custom', path='Content/best.pt')
|
| 15 |
+
model.conf = 0.38
|
| 16 |
+
model.hide_conf=True
|
| 17 |
+
return model
|
| 18 |
|
|
|
|
|
|
|
|
|
|
| 19 |
#, force_reload=True
|
| 20 |
def detect(inp):
|
| 21 |
#g = (size / max(inp.size)) # gain
|
| 22 |
#im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS) # resize
|
| 23 |
+
model=load_model()
|
| 24 |
results = model(inp,size=640) # inference
|
| 25 |
results.render() # updates results.imgs with boxes and labels
|
| 26 |
return Image.fromarray(results.imgs[0])
|
| 27 |
|
| 28 |
|
| 29 |
+
inp = gr.inputs.Image(type="pil", label="Original Image")
|
| 30 |
output = gr.outputs.Image(type="pil", label="Output Image")
|
| 31 |
|
| 32 |
|