yolov4-custom-functions VS tensorflow-yolov4-tflite

Compare yolov4-custom-functions vs tensorflow-yolov4-tflite and see what are their differences.

yolov4-custom-functions

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT. (by theAIGuysCode)

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite (by hunglc007)
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yolov4-custom-functions tensorflow-yolov4-tflite
3 4
596 2,223
- -
0.0 0.0
about 1 year ago 11 months ago
Python Python
MIT License MIT License
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yolov4-custom-functions

Posts with mentions or reviews of yolov4-custom-functions. We have used some of these posts to build our list of alternatives and similar projects.

tensorflow-yolov4-tflite

Posts with mentions or reviews of tensorflow-yolov4-tflite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

What are some alternatives?

When comparing yolov4-custom-functions and tensorflow-yolov4-tflite you can also consider the following projects:

tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

mousehunter-edge - Cat with prey detection on Raspberry Pi. Lock cat pet flap if prey is detected. Object detection implemented in TFLite with ImageNet v1 SSD. Inference on EdgeTPU (Google Coral USB). Stores images on AWS S3 and sends notifications to iOS device.

yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.