yolov4-custom-functions
tfops-aug
| yolov4-custom-functions | tfops-aug | |
|---|---|---|
| 3 | 1 | |
| 596 | 14 | |
| - | - | |
| 0.0 | 4.9 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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yolov4-custom-functions
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How can i count Enter and Exit in Yolov Object Detection?
Object detection and counting project: https://github.com/theAIGuysCode/yolov4-custom-functions
- Contagem de motocicletas no evento do Bozo em SP. Total: 6253.
- Contagem em tempo real das motos durante a motocada promovida pelo presidente Bolsonaro (contagem final: 6253)
tfops-aug
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tfops-aug: Lightweight and fast image augmentation library based on TensorFlow Ops
With tfops-aug, you can easily apply an augmentation policy to your images, including shearing, translations, random gamma, random color shifts, solarization, posterization, histogram equalization, and more. The library is fully compatible with Tensorflow's data pipelines, so you can easily integrate it into your existing projects. And because it uses only Tensorflow operations, it's fast and efficient and can be directly applied on a tf.Tensor of type tf.uint8.
What are some alternatives?
tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
textaugment - TextAugment: Text Augmentation Library
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
mastercomfig - A modern customization framework for Team Fortress 2
Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x