I want to create a pill counter using points instead of bounding boxes. What model should I train from?

• OpenCV

  196 75,423 9.9 C++

  Open Source Computer Vision Library

  

I've done similar jobs using openCV for counting cells in microscope, or cars in parking lots. It's a very straightforward approach.

• mmdetection

  23 27,742 8.7 Python

  OpenMMLab Detection Toolbox and Benchmark

  

If you are really that lazy: use bboxes of the fixed size placed in the center of the pill. The pill does not have to fit into the box - modern architectures see the image as a whole, not only the crop in the box. For example if you would train detection on labels which are shifted (add 30px to each label coordinate), the network would learn to place each box 30px next to the actual object. So just let small box represent the center of the pill. The problem will arise if you will use improperly configured architecture, i.e. if you will not change the anchors in SSD model. Try efficientdet architecture implemented in mmdetection or, the easiest, yolov5. These should work out of the box.

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• yolov5

  129 46,738 8.9 Python

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  

If you are really that lazy: use bboxes of the fixed size placed in the center of the pill. The pill does not have to fit into the box - modern architectures see the image as a whole, not only the crop in the box. For example if you would train detection on labels which are shifted (add 30px to each label coordinate), the network would learn to place each box 30px next to the actual object. So just let small box represent the center of the pill. The problem will arise if you will use improperly configured architecture, i.e. if you will not change the anchors in SSD model. Try efficientdet architecture implemented in mmdetection or, the easiest, yolov5. These should work out of the box.

• CenterNet

  6 7,101 0.0 Python

  Object detection, 3D detection, and pose estimation using center point detection:

Take a look at this centernet architecture.

• DeepLabCut

  12 4,283 8.7 Python

  Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  

Well you could try DeepLabCut - https://github.com/DeepLabCut/DeepLabCut

• DeepPoseKit

  5 379 0.0 Python

  a toolkit for pose estimation using deep learning

Or a variation called DeepPoseKit - https://github.com/jgraving/DeepPoseKit which hasn't been as updated as recently but is easier to batch / code.

• pose-tensorflow

  1 1,133 10.0 C++

  Human Pose estimation with TensorFlow framework

Also DeepLabCut uses primarily videos. It's built on the stacked hourglass method from this repo: https://github.com/eldar/pose-tensorflow

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