I am running Yolov5 Model in flask file in AWS EC2 instance, Getting this weird error "DetectMultiBackend has no input_detail attribute. I am using this to load the Yolov5 Pytorch Model
model = torch.hub.load('.', 'custom', path='best.pt', source='local',force_reload=True)
Here is code
try:
for i in range(0,len(filenameArr)):
img = filenameArr[i]
#with graph.as_default():
if(CNC_res[i]>0 and "VIA" in img ):
#img=Image.open(UPLOADEDIMG_PATH+img.split(("/")[-1]))
#file_name=Path(img.split("/")[-1]).name
#file_name = Path(img.split("/")[-1])
#results = model(file_name, size=224)
# pil_img=Image.open(UPLOADEDIMG_PATH + img.split('/')[-1])
#pil_img=Image.open(UPLOADEDIMG_PATH + img.split([-1]))
# pil_img = Image.open(UPLOADEDIMG_PATH + img)
path = "/var/www/html/ml_flask/images/Segmented/27-06-2022-14-49-08_VIA.png"
pil_img=cv2.imread(path)
#print(pil_img)
# file_name=pil_img.split('/')
# print("It has been passed")
results = model(pil_img, size= 224)
#pil_img.save('/var/www/html/temp.jpg')
#results = model(pil_img, size=224)
print("Model is loaded")
#for debugging
data = results.pandas().xyxy[0].name.to_json(orient="records")
name=results.pandas().xyxy[0].name
confidence=results.pandas().xyxy[0].confidence
os.chdir(save_folder)
#results.save()
results.print()
results.save(save_dir=save_folder)
dictionary ={
'file':img,
'save_imgpath':os.path.join(save_folder,file_name),
'name':list(name),
'confidence':float(confidence)
}
list1.append(dictionary)
final_dictionary={
'status':True,
'code':200,
'output':list1
}
else:
final_dictionary={
'status':False,
'code':300,
'error':"VIA Images does not exist"
}
if list1==[]:
final_dictionary={
'status':False,
'code':300,
'error':"VIA Images does not exist"
}
with open(Order_ID+'_result.json', 'w') as factor:
json.dump(final_dictionary, factor,indent=4)
else:
for i in list1:
assessment_result.append(i['name'])
confidence_result.append(i['confidence'])
print(assessment_result)
print(confidence_result)
tmp = max(confidence_result)
idx = confidence_result.index(tmp)
majority=assessment_result[idx]
print(assessment_result)
print(confidence_result)
tmp = max(confidence_result)
idx = confidence_result.index(tmp)
majority=assessment_result[idx]
element='red'
element_in_lists = False
for list in assessment_result:
if element in list:
element_in_lists = 'red'
else:
#print(majority)
element_in_lists = majority
print(element_in_lists)
new_assessment= copy.copy(element_in_lists)
new_assessment.append(str(qualityParamFLG))
final_dictionary.update({"final_assessment":new_assessment})
#print(final_dictionary)
with open(Order_ID+'_result.json', 'w') as factor:
json.dump(final_dictionary, factor,indent=4)
except:
final_dictionary={
'status':False,
'code':300,
'error':"Something went wrong"
}
with open(Order_ID+'_result.json', 'w') as factor:
json.dump(final_dictionary, factor,indent=4)
Here is the complete error
Exception on /image/get [GET]
Traceback (most recent call last):
File "/var/www/html/ml_flask/Models_Version_Jun_2022/ml_app.py", line 221, in getImage
results = model(pil_img, size=224)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1207, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DetectMultiBackend' object has no attribute 'input_details'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2077, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1525, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1523, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1509, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
File "/var/www/html/ml_flask/Models_Version_Jun_2022/ml_app.py", line 302, in getImage
with open(Order_ID+'_result.json', 'w') as factor:
PermissionError: [Errno 13] Permission denied: '5555_result.json'
