Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (retinal scan) image as input and outputs whether the person is affected by glaucoma or not.
License: MIT License
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Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
Where is the dataset for this project?
Can u please tell us
Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
Please help, the app is not running again through streamlight
I have mailed you for the need of Dataset.
Please send me the same.
MailId: [email protected]
root@2-ubuntu-s-8vcpu-16gb-nyc1-01:~/glaucoma-detector# streamlit run glaucoma_app.py
RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
2021-06-17 03:15:44.775025: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-06-17 03:15:44.775070: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
You can now view your Streamlit app in your browser.
Network URL: http://143.244.172.85:8501
External URL: http://143.244.172.85:8501
2021-06-17 03:15:45.824426: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2021-06-17 03:15:45.824465: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-06-17 03:15:45.824491: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (2-ubuntu-s-8vcpu-16gb-nyc1-01): /proc/driver/nvidia/version does not exist
2021-06-17 03:15:45.824715: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-06-17 03:15:45.831907: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2494085000 Hz
2021-06-17 03:15:45.832359: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f13e67b3190 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-06-17 03:15:45.832395: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
how can solve?
Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
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