image_augmentor
yolo-tf2
| image_augmentor | yolo-tf2 | |
|---|---|---|
| 1 | 1 | |
| 438 | 747 | |
| - | - | |
| 0.0 | 7.6 | |
| 7 months ago | almost 2 years ago | |
| Python | Python | |
| - | MIT License |
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image_augmentor
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D Simple Questions Thread November 22 2020
augmented the data to balance the dataset using Image Augmentor : https://github.com/codebox/image_augmentor
yolo-tf2
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How to write a resume for python / ML jobs?
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
What are some alternatives?
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
onnx-tensorflow - Tensorflow Backend for ONNX
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.