Inception Embeddings Visualization
A script to generate tensorboard embeddings visualization of a group of images.
Requirements
- python
- tensorflow
- tensorboard
Installation
Local
pip install -r requierments.txt
Docker
Replace tf1.8-gpu with tf1.8 and nvidia-docker with docker for CPU build.
Pull image
docker pull rpidanny/tf1.8-gpu
Run Container
Change directory to your project directory, than run in the interactive mode:
nvidia-docker run -it -p 9001:9001 -v=$(pwd):$(pwd) -v=local_path_to_image_dir:/data --workdir=$(pwd) --rm rpidanny/tf1.8-gpu
Usage
Generate Embeddings
Use python3 while using docker.
python main.py --image_dir=path_to_image_dir
Load Embeddings on Tensorboard
tensorboard --logdir=/tmp/tensorboard_logs --port=9001
Go to http://localhost:9001