To speedup and simplify image labeling/ annotation process with multiple supported formats.
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Updated
Jan 1, 2024 - HTML
To speedup and simplify image labeling/ annotation process with multiple supported formats.
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Face Renderer to perform Domain (Face) Specific Data Augmentation
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
A 68-point Facial landmark at 28-30 FPS on iPhone 6S+. HyperLandmark is get from https://github.com/zeusees/HyperLandmark.
A Simple Profiling Library for OCaml
Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000
👊 Keypoint/Landmark Annotation Software 关键点标注软件
Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach
Tool to convert all labelme keypoints file to one single coco keypoints file
1st place solution (Team StylingAI Inc. & PKU AIIC) for CVPR 2020 DeepFashion2 Clothes Landmark Detection Track. Aggregation and Finetuning for Clothes Landmark Detection
Scyland3D: Processing 3D landmarks
pose2pose, everybody dance now python implementation
python interface for SeetafaceEngine2
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