yolo-tf2
xview-yolov3
Our great sponsors
| yolo-tf2 | xview-yolov3 | |
|---|---|---|
| 1 | 1 | |
| 747 | 244 | |
| - | 2.5% | |
| 7.6 | 6.2 | |
| almost 2 years ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yolo-tf2
-
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 ...
xview-yolov3
-
How hard is this task - counting the number of cars from an aerial video clip
Use pretrained object detection models on aerial datasets. One of the datasets in xview dataset or DOTA dataset. You can use this repository : https://github.com/ultralytics/xview-yolov3
What are some alternatives?
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
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