Pinned Repositories
-
181800330-181800415
2020-personal-python
福州大学个人编程 2020 Python 评测脚本
2020se-votesys
BSC-MIT
BSC-learning
CASCADE
DARIC
Hotel-Management
数据库大作业
PyQt5-YOLOv5
YOLOv5检测界面-PyQt5实现
single-port-FIFO
single port FIFO ,read and write simultaneously
muse-coder's Repositories
muse-coder/single-port-FIFO
single port FIFO ,read and write simultaneously
muse-coder/DARIC
muse-coder/Hotel-Management
数据库大作业
muse-coder/PyQt5-YOLOv5
YOLOv5检测界面-PyQt5实现
muse-coder/BSC-MIT
BSC-learning
muse-coder/CASCADE
muse-coder/CFPNet-test
muse-coder/cgra_me_plus
muse-coder/chisel-project
muse-coder/chisel_demo
muse-coder/DataPartitionArch
muse-coder/defect-detection
muse-coder/lisa
A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.
muse-coder/machine-learning
muse-coder/mask-rcnn-keras
这是一个mask-rcnn的库,可以用于训练自己的实例分割模型。
muse-coder/Mask_RCNN
Mask R-CNN modified to run on TensorFlow 2
muse-coder/mixed-segdec-net-comind2021
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
muse-coder/muse-coder
muse-coder/NEU-DET-yolov5
muse-coder/SC-based-NN-Accelerator
muse-coder/SC-CGRA-Design
muse-coder/SC-DNN-Architecture
muse-coder/SC-PTQ
low bit quantization and stochastic computing
muse-coder/SC_MUL
muse-coder/Surface-Defect-Detection
📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
muse-coder/surface-defect-detection-1
缺陷检测文献记录
muse-coder/Surface-Defect-Detection-in-Hot-Rolled-Steel-Strips
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
muse-coder/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
muse-coder/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/
muse-coder/ysyx-workbench