yolov4-custom-functions VS CFU-Playground

Compare yolov4-custom-functions vs CFU-Playground 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)

CFU-Playground

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below. (by google)
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yolov4-custom-functions CFU-Playground
3 2
596 442
- -0.2%
0.0 4.9
over 1 year ago 2 days ago
Python Verilog
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

CFU-Playground

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

What are some alternatives?

When comparing yolov4-custom-functions and CFU-Playground you can also consider the following projects:

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

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

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

deepbacksub - Virtual Video Device for Background Replacement with Deep Semantic Segmentation

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

awesome-tensorflow-lite - An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

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

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

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

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform