Tony607 / Colab Mask Rcnn
How to run Object Detection and Segmentation on a Video Fast for Free
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How to run Object Detection and Segmentation on a Video Fast for Free
How to Run
Colab
The easiest way is to open the colab notebook.
The following instruction is optional and only useful if you want to run locally.
Optionally, run Locally
Require Python 3.5+ and Jupyter notebook installed
Clone or download this repo
git clone https://github.com/Tony607/colab-mask-rcnn
Install required libraries
pip3 install -r requirements.txt
Install pycocotools (Windows only)
Since this notebook already contains cells to install pycocotools using Linux command. Alternatively if you are using Windows PC, you can install it manually.
- NOTE: pycocotools requires Visual C++ 2017 Build Tools
- Clone this repo.
git clone https://github.com/philferriere/cocoapi.git
- Use pip to install pycocotools.
pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
Start the notebook
In the project start a command line run
jupyter notebook
In the opened browser window open
Colab_Mask_R_CNN_Demo.ipynb
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