Comments (1)
Did I claim anything about results? Code is fine, if you think there is mistake, point out one :)
The goal of the tutorial is to teach, activity recognition in wild is not an easy problem to solve. You need to understand how the data is collected that we used to train the model! Collect and train your own personalized model.
This tutorial is not a plug-n-play activity detection system, it is just meant to learn how CNN can be applied to sensor data.
from human-activity-recognition-using-cnn.
Related Issues (20)
- The code runs for too long ?
- The predict is always Upstairs. HOT 1
- normalizing raw data in the App HOT 3
- Problem freezing the model. HOT 4
- Tensor Shape Issue HOT 4
- Exported Model Issue in Android HOT 3
- org.tensorflow.TensorFlowException: Op type not registered 'NonMaxSuppressionV3' in binary running on localhost. Make sure the Op and Kernel are registered in the binary running in this process. HOT 1
- Help!!!
- Tensorflow code does not work HOT 4
- CNN part error with too many indices for array HOT 4
- name is not in subgraph HOT 2
- Loss is not decreasing HOT 1
- Always UPSTAIRS HOT 4
- file does not exist in HOT 2
- change the name HOT 1
- model file? HOT 1
- Source code for Deploying the model on Android HOT 6
- The app can not run HOT 3
- when i run the code,there are some problems
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from human-activity-recognition-using-cnn.