[LEADERG APP] CycleGAN
CycleGAN is a well-known algorithm published in ICCV2017 image-to-image translation. The biggest feature is that it does not require training data to be paired.
[LEADERG APP] HumanPose
Human body posture detection, detecting the position of human nose, eyes, ears, neck, shoulders, elbows, wrists, hip joints, knee joints, and ankles.
[LEADERG APP] FaceNet
FaceNet directly learns a mapping from face images to a compact Euclidean space where distances directly correspond to a measure of face similarity. The model does not
[LEADERG APP] Model
Model conversion, from yolo PyTorh model to ONNX model, or Tensorflow 1.X model to ONNX model.
[LEADERG APP] UNet
Use UNet for image segmentation, as shown in the figure above, which can be applied to medical image segmentation. This example is Chest CT image segmentation.
[LEADERG APP] CSPNet
Use CSPResNeXt50 for image classification. An example is to use steel plate defect classification. You can use this APP to train your images for image classification.
[LEADERG APP] XGBoost Classification
Use XGBoost Classification for data regression analysis.
[LEADERG APP] Annotation
This APP is an application with multiple image annotation tools. It mainly includes the common LabelImg, Labelme, the Annotation tool developed by LEADERG, and supports
[LEADERG APP] XGBoost Regression
Use XGBoost Regression for data regression analysis.
[LEADERG APP] MaskRCNN
Image segmentation with MaskRCNN.
[LEADERG APP] YOLOv4
The YOLOv4 APP can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, mask image analysis, etc