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An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
Engineering Program on RTL Design for FPGA Accelerator
A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA
基于Xilinx FPGA的通用型 CNN卷积神经网络加速器,本设计基于KV260板卡,MpSoC架构均可移植
2023集创赛国二。基于脉动阵列写的一个简单的卷积层加速器,支持yolov3-tiny的第一层卷积层计算,可根据FPGA端DSP资源灵活调整脉动阵列的结构以实现不同的计算效率。
Efficient FPGA-Based Accelerator for Convolutional Neural Networks
Designing CNN accelerator using a Xilinx FPGA board and comparing performance with CPU.
implement convolution neural network on FPGA based on VHDL design
A minimal GPU design in Verilog to learn how GPUs work from the ground up
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
这是一个yolov8-pytorch的仓库,可以用于训练自己的数据集。
使用pytorch_quantization对yolov8进行量化
这是一个YoloV4-tiny-pytorch的源码,可以用于训练自己的模型。
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
OpenMMLab Rotated Object Detection Toolbox and Benchmark
⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and …
TorchCV: a PyTorch vision library mimics ChainerCV
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems (ECCV 2020)
''Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation''. BMVC 2018.
This is an official repository of our TFDet.
A faster pytorch implementation of faster r-cnn
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection, ICCV, 2019
Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database