Deployment of Deep Learning Model using Flask
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- เผยแพร่เมื่อ 19 ต.ค. 2024
- Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.[3] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools. Extensions are updated far more regularly than the core Flask program.
#FlaskDeepLearningModelDeployment
github url: github.com/kri...
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Thank you so much. You are simply a blessing.!!!
Tested!!!!!! It works. Great work Krish
God Bless brother
Great video! 2023 and still helpful
you are a lucky charm. I was looking for the exact same app. Thank you so much.
Thank u it's helpful for me
@krish naik thank for sharing your knowledges easily..
Thanks a lot for this example!
Thank you for this simple explanation :)
I'm using tensorflow 2.10.1, which version of Flask is recommended to avoid compatibility issues with Tensorflow?
Heyy, what is API used over here?
It is a pre - available API or an API written by you?
Hi Krish, thank you for the video. Could you tell me if I can add probability value for the predicted image so it show in the web?
Great job man! I could deploy really easily using your piece of code. But I'm a noob in terms of java script and html/css. Could you help me display another image as a predicted output?
I want same thing. Please provide solution of it.
I like it! u deserve a million subscribers!
Hi, I am getting the following error for loading and saving the model: Unable to create file (unable to open file: name = 'C:\Users\Admin\Desktop\models', errno = 13, error message = 'Permission denied', flags = 13, o_flags = 302). Please help. I have tried to change the permissions of the folder too but that has not resolved the error
@Krish Sir i am facing "tensorflow.python.framework.errors_impl.InvalidArgumentError: Tensor input_3:0, specified in either feed_devices or fetch_devices was not found in the Graph" error. What should i do ? Thank you.
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why you never told us about all the necessary files like procfile???
Can you do a little bit more Krish? Could you please show us how to deploy the 'wrapped model' to Docker and Kubernetes, or how to connect the predicted model from Flask to the back-end framework such as NodeJS? That will be a big help! Thanks!
you can create api via flask and access that api via node
Thank you so much :)
Thanks
Hello plz make video of .CSV data deployment using keras in flask
great video
thank you soo......much sir
which are the previous videos you are referring to?2:22
Nice tutorial....
Sir, can we do the same thing using Django?
Nice video! How can i make the same work with request? I want to send the image with request and get the result as json.
hii krish sir, tahnks for your wonderful videos and guidance in data science. i am doing the same process to deploying my model. but i am facing some issue in it actually when i am giving the image to localhost server, it only show the image and not predict any thing , only reloading is continuing, many time . please help me.
Hi, is there any tutorial on access it from android studio?
Hi, I've used this code but while clicking the predict button it's not showing the result even after waiting for long time. Can anyone please help me with this error
Krish Could u show how to train multiple images using Keras . Like You have imported images from Imagenet could u please tell me how to create our own dataset and train images , Please do upload a video on that .I couldn’t see any video on youtube to do object training using Keras.Thank You
what version of keras,tensorflow,tensorboard you use in this video
For custom data. I have trained ssd model. Now I want to deploy it. What should I need to do. [I have pb file]
I get value error when deploying text data ,for only image it is working in flask.
I keep getting this error ImportError: cannot import name 'resnet50' from 'tensorflow.keras.applications.resnet50' (C:\Users
ishi\anaconda3\lib\site-packages\tensorflow\keras\applications
esnet50\__init__.py) when trying to save the resnet model. How do I resolve it.
Nice video man. I used mobilenet the code worked well but when I upload images it refuses to make any prediction...
did you finetune the resnet before using it...?
hey, i had the same problem, maybe try this: stackoverflow.com/questions/54652536/keras-tensorflow-backend-error-tensor-input-10-specified-in-either-feed-de
it worked for me, good luck!
@@aleverdo5110 i used your solution but didn't work. is there any other way?
@@mdkhairulislam5327 I had a lot of problems with the tensorflow library, I used the method shown above and downgraded the tensorflow 2.1 to 2.0.0 and it worked with keras 2.3.1. It seems like everyone got another problem with tensorflow, looked at a lot of StackOverflow problems and tried several of them, so If downgrading the version of tensorflow does not work, try to look on google by googling your error and cross your fingers.. good luck! :)
can i use my own model in this ?
how to save our existing model. here u use resnet model. how to get that.....
I have a pretrained model in .pb format,now what i do for the deployment in flask
Hi Krish please make a video on how to find libraries for a specific project .. which kind of libraries is suitable for that project
How can I stream the video feed from my android camera over the internet to a server back home, run some computations on a model that lives on that server than return a result back to the android device?
where is the model?
hey krish could you please make a video on deploying more than one model ,I tried doing that and I am getting many errors,the error that is hanging around is attribute error which says thread. local has no attribute value
hi krish i want to deploy deep learning cnn on arduino. please make a video on it. Thank You!
Traceback (most recent call last):
File "app.py", line 26, in
model._make_predict_function()
AttributeError: 'Functional' object has no attribute '_make_predict_function'
there is the same problem?
Did you find a solution for this error ? I found out that they removed it from current tensorflow and keras. No idea how to fix it.
@@tahmeedhossain2910 change "model._make_predict_function() to "model.make_make_predict_function()"
change "model._make_predict_function() to "model.make_make_predict_function()"
change "model._make_predict_function() to "model.make_make_predict_function()"
can it work with fast ai model??
the predict btn is not working with me what can ido for work
some help please
Can I do same steps with .pb or .weight model file?
thanks man
can i run tflite model into flask?
@Krish Naik can you send or put the link of source code of model
Great video! However I'm getting this error after clicking the predict button "tensorflow.python.framework.errors_impl.InvalidArgumentError: Tensor input_3:0, specified in either feed_devices or fetch_devices was not found in the Graph"
Me getting the same error, did you get a solution?
@@ankitjatiya9702 did you get the solution?
@@mdkhairulislam5327 I created an environment in Anaconda and reinstalled tensorflow there, it worked!
I got same error, resolved with "app.run(debug=False, threaded=False)", I just google search got the answer.
@@raymondcao1944 Thanks my bro...It worked!!!
I implemented a code in tensorflow 1.x earlier, for which I want to make the same deployment environment. tf 2.x saves the model in standard serialization (.h5). The tf 1.x saves in a different way, separate the model weights, variables, structure. Did anyone help me??
Hi please help! I always get the same prediction for all the images
Segmentation fault for me while using this code can anyone help me
can you try tensorflow serving?
Sure I will upload in the next video
@@krishnaik06 Thanks man.
how can i create model_resnet.h5 ?
Bhai on doing this error comes
Thread.local object has no attribute value
set threaded=False in app.run().
When i use the line np.array [img,]) and run my app.py file, why I'm getting the error as AttributeError: '_thread._local' object has no attribute 'value'.
I tried by setting threaded = false but I'm still getting the error
Can you please help me out.
Hey use this from tensorflow.keras.models import load_model instead of just loading directly from keras
@@ishdutttrivedi4315 Thank you so much, i was stuck at this step from last week. It is working now, thank you again.
@@ishdutttrivedi4315 i did the same thing with a nlp model and now I am getting function call stack error... Please help me... With this error
AttributeError: '_thread._local' object has no attribute 'value'
I am having the same error with one of my nlp web app.... Please some one help me
AttributeError: '_thread._local' object has no attribute 'value' how to overcome this issue??? please let me know.....
set threaded=False in app.run().
Hey bro, did you find the solution for this error? I'm still getting this error even after threaded = false.
@@PramodKumar-dr8nn nope bro..... I've searched a lot....and found out it can be a keras version error
@@SHALOM26624 i have reinstalled keras and flask but the error still persists.
sir can you share model.h5 file or model train files
on github there is no model folder
You must uncomment the line starting from keras.applications until model.save() to download the model.
You would have to download your own pre-model from keras documentation and add a folder to it.
Not working.
```AttributeError: '_thread._local' object has no attribute 'value' How to Solve```
> How to Solve this Error
I want the solution too
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
Thanks
Everytime when I'm replacing the model with my model getting this error. Have been trying to solve this since few days. Please help me out
AttributeError: 'Functional' object has no attribute '_make_predict_function'
either its functional or sequential model
just delete this line. it will work
@@nandinibagga4857 hey it work but looping scaning. can i get your email for my error
i have same problem