When I am using TensorFlow on my MacBook Air, I always get annoyed by the warnings comes from nowhere, so I followed the documentation below to build TensorFlow sources into a TensorFlow binary and installed it successfully. In theory, this will make the TF running faster on my machine.
Here is the document:
If you are a Mac user, you could download the TF binary from here:
Then, you could use conda to initialize an environment with Python=3.6 and install TF by typing:
sudo pip install tensorflow-1.8.0-py2-none-any.whl
Continue reading “MacOS X: Installing TensorFlow from Sources [TF Binary Attached]”
This is the 3rd post about my implementation of TensorFlow Apps on my Android Phone.
This time I fixed one small bug in the app of “TF Detect” so the object tracking function could work. The project is compiled by “cmake“ with NDK Archives in this version. You can download the new “apk files here: Tensorflow_Demo_Debug.apk.
“Once the app is installed it can be started via the “TF Classify”, “TF Detect”, “TF Stylize”, and “TF Speech” icons, which have the orange TensorFlow logo as their icon.
Continue reading “A Taste of TensorFlow on My Android Phone (III)”
This project is forked from zbar library, I added some modifications, so the webcam can be used as an image reader to detect QR and Barcodes.
Continue reading “QR Code Detector with Webcam (Python / OpenCV / Pyzbar)”