Age and Gender estimation using Caffe2 pretrained LAP Challenge models
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Updated
Jun 21, 2022 - Python
Age and Gender estimation using Caffe2 pretrained LAP Challenge models
Common functions for organizing data, training and testing in caffe2
Implementation to coursera machine learning course, some tensor flow code.
Real-time Embedded Deep Learning for Autonomous Lane Change Systems of Autonomous Driving
Détection de squelette avec capteur RealSense, et visualisation dans le Blender Game Engine
Generate caffe2 python code for training and inference.
DeepLearning Benchmark for multi-harware & multi-framework
The python script spilts the source folder of a dataset into train and test folder which has subfolders as classes
Caffe2-vision help engineer to build vision CNN for training and product, including dataset maker and favorite models
A set of helper tools to assit with gathering and sorting data for machine learning.
Tattoo detection and localization
Contains some of my experiments using caffe2
This repository shows an example of how to use the ONNX standard to interoperate between different frameworks. In this example, we train a model with PyTorch and make predictions with Tensorflow, ONNX Runtime, and Caffe2.
Device Agnostic Deep Learning Benchmark to compare the performance framework-wise, layer-wise, and model-wise.
A real time face mask detection model
End-to-end multitask CNN architecture for object instance segmentation, human pose detection and multi-person tracking based on Facebook AI's Detectron system
PiNN2 is a easy-to-use framework for device compact modeling using physics-inspired neural networks
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