fitear's repositories
AppleLeafClassify
这是一个使用Resnet50进行苹果树叶分类的深度学习项目
backgroundremover
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
cassava-example
Example mlserver and seldon deployment for a cassava leaf classifier
ChatGLM-MNN
Pure C++, Easy Deploy ChatGLM-6B.
GeoLite2SQL
Import MaxMinds GeoLite2 data into MySQL
Hackintosh-HP-ProDesk-400G2-Mini-EFI
Hackintosh OpenCore EFI for HP ProDesk 400 G2 Disktop Mini PC (HP400G2DM HP400G2 DM HP400 G2 DM HP 400 G2 DM)
Hackintosh-T480
Lenovo ThinkPad T480 Hackintosh
herbal-leaf-classification
Machine Learning that can classify ten types of Indonesian herbal plant leaves
HttpCanary-without-root
This is just a backup repo for me to install http Canary in Android 12 , i don't need to search the internet for this modded application
Identification-of-ResNet-50-poisonous-mushroom-based-on-MindSpore
基于MindSpore的ResNet-50毒蘑菇识别
ImageClassification
Jupyter notebook showing how to build an image classifier with Python and Tensorflow
K2P-OpenWrt-AP
A Small K2P OpenWrt Used for AP
kaggle_image-classify
Identify the type of disease present on Appletree leafs
Leaf-Detection-YOLOv7x
YOLOv7-based leaf object detection for agriculture. Accurate crop management and weed control.
maximocomponent
自定义maximo组件
medical-leaf-image-classification
Medical Leaf Image Classifier with KNN
Medicinal-Plant-Leaf-Classifier
This project is made with CNN to classify 30 different species of Medicinal Plants.
MediLeaf_AI
Medileaf is an application whose motive is to help the individual to identify medicinal plant with their properties by just scanning the leaf of any plant which might result creating curiosity about plant that lead to the preservation of the valuable plants as well as source of income.
mushroom
基于卷积神经网络的蘑菇识别微信小程序（“识菇”）
Plant-Leaf-Selection-On-Image
Plant Leaf Selection On Image By Using PlantCV
Plant-Leaves-Search-Engine---MIRCV
植物叶子搜索引擎是一个系统，可以识别用户给定的叶子图像的物种。 我们的引擎可以识别 14 种不同植物的叶子：苹果、蓝莓、樱桃、玉米、葡萄、橙子、桃子、胡椒、马铃薯、覆盆子、大豆、南瓜、草莓和番茄。 为了做到这一点，我们利用了 DenseNet121 的微调版本，并且为了检索，我们使用了 Vantage Point Tree 索引。 我们决定使用微调模型提取特征，为了获得正确的结果，我们删除了神经网络末端的分类层。 我们利用这些特征来构建 VPT 索引，这要归功于我们使用距离度量检索 k 个最近邻居的特征。 我们比较了使用 VPT 索引和蛮力方法之间的查询时间。 最后，我们使用 MaP 指标评估了预训练模型和微调模型。
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
ResNet18
使用resnet18网络训练树叶数据集
Thinkpad-X230-Hackintosh
Files for the hackintoshing of a Thinkpad X230
thinkpad-X390-hackintosh
Thinkpad x390 hackintosh opencore sonoma
tree_classifier
Classifier of European trees based on leaf pictures
X99-K9-Machinist-Hackintosh
EFI Clover and OpenCore folders and workaround for darkwake issue on X99 K9 Machinist mainboard for Mac OS.
zipcpu
A small, light weight, RISC CPU soft core