abhi-kumar / Caffe-Python-Basic-TutorialLinks
Includes implementation details of almost every layer, weight fillers, solvers, loss functions and data layer setup with every parameter.
☆60Updated 9 years ago
Alternatives and similar repositories for Caffe-Python-Basic-Tutorial
Users that are interested in Caffe-Python-Basic-Tutorial are comparing it to the libraries listed below
Sorting:
- Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.☆78Updated 8 years ago
- DeepLab v2 support cudnn-v5☆63Updated 7 years ago
- A deconvolutional network in caffe☆112Updated 9 years ago
- a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.☆33Updated 10 years ago
- Tensorflow implementation for "Feature Pyramid Networks for Object Detection"☆105Updated 8 years ago
- Creation of LMDB for training a multi-label loss in Caffe☆71Updated 9 years ago
- Codes for CVPR2016 paper "CRAFT Objects from Images"☆49Updated 9 years ago
- Code to convert a MXNet model into Caffe (C++)☆53Updated 8 years ago
- Evaluation of detection performance, recall, and repeatability of detection proposal algorithms☆141Updated 8 years ago
- Training the inception resnet v2 architecture in caffe☆44Updated 9 years ago
- ☆29Updated 8 years ago
- Generate Caffe Prototxt for Deep Residual Learning Network☆71Updated 9 years ago
- Spatial Transformer Networks☆76Updated 9 years ago
- Caffe fork that supports CRF-RNN☆33Updated 7 years ago
- Caffe real-time data augmentation on-the-fly!!☆164Updated 9 years ago
- Fine-tuning an already learned model, adapts the architecture to other datasets☆27Updated 8 years ago
- Object detection using AZ-Net☆44Updated 8 years ago
- MXNet port of R-FCN☆51Updated 8 years ago
- Caffe fork that supports training with weighted samples http://caffe.berkeleyvision.org/☆22Updated 10 years ago
- ☆46Updated 8 years ago
- An implementation of CNN visualization.☆98Updated 10 years ago
- ☆127Updated 8 years ago
- Weighted Softmax Loss Layer for Caffe☆87Updated 7 years ago
- Object detection via a multi-region & semantic segmentation-aware CNN model☆113Updated 9 years ago
- A MXNet tiny face detector☆95Updated 7 years ago
- ☆48Updated 10 years ago
- ☆42Updated 9 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Updated 8 years ago
- Inception-BN ImageNet (21K classes) model for Caffe☆74Updated 9 years ago
- caffe-regression examples ,kaggle face keypoint detection☆57Updated 8 years ago