# Mask_R_CNN_Keypoints

**Repository Path**: mtxwxd/Mask_R_CNN_Keypoints

## Basic Information

- **Project Name**: Mask_R_CNN_Keypoints
- **Description**: The original code is from "https://github.com/matterport/Mask_RCNN" 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-01-08
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Mask_R_CNN_Keypoints
The original code is from "https://github.com/matterport/Mask_RCNN" on Python 3, Keras, and TensorFlow.
The code reproduce the work of "https://arxiv.org/abs/1703.06870" but does not include code for keypoints.  
So the work that ralice in this publication is: # modify the code to perform the detection of keypoints.

The trainig file is "main", you can biging with thid file.

The dataset is in https://challenger.ai/competition/keypoint/subject

#### The weights are uploaded in release section.

### segmented image with the original code
<img src="pictures/segmented_image.png" width="400">

This image is one of the first tests, there is no mean average presition mAP
The resunts are far from the original paper

### Test Picture for keypoints
<img src="pictures/test_1.png" width="600">

### Network output
<img src="pictures/output_layer.png" width="600">

   This picture reprecents the last layer in the network
   
P.S: modified json files are uploaded in release 2.