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