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The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the theory of transfer learning and show how to apply it in useful projects. The development is on progress! The API will be updated soon, the more talented and light-weight API will be available in this repo! Detailed API documentation and sample jupyter notebooks that explain basic usages of API will be added!
Features
- Cumulative Counting Mode (TensorFlow implementation)
- Real-Time Counting Mode (TensorFlow implementation)
- Object Tracking Mode (TensorFlow implementation)
- Object Counting On Single Image (TensorFlow implementation)
- Object Counting based R-CNN (Keras and TensorFlow implementation)
- Object Segmentation & Counting based Mask R-CNN (Keras and TensorFlow implementation)
Project Samples
