shuangshuangguo / Caffe2pytorch Tsn
Transform the caffe model to pytorch model for Temporal Segment Network
Stars: ✭ 69
Programming Languages
lua
6591 projects
Projects that are alternatives of or similar to Caffe2pytorch Tsn
Unreal caffe
Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!
Stars: ✭ 38 (-44.93%)
Mutual labels: caffe
Audio Pretrained Model
A collection of Audio and Speech pre-trained models.
Stars: ✭ 61 (-11.59%)
Mutual labels: caffe
Convolutionalemotion
A deep convolutional neural network system for live emotion detection
Stars: ✭ 40 (-42.03%)
Mutual labels: caffe
Pwc Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Stars: ✭ 1,142 (+1555.07%)
Mutual labels: caffe
Fabrik
🏭 Collaboratively build, visualize, and design neural nets in browser
Stars: ✭ 1,081 (+1466.67%)
Mutual labels: caffe
Jacinto Ai Devkit
Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-28.99%)
Mutual labels: caffe
Feathercnn
FeatherCNN is a high performance inference engine for convolutional neural networks.
Stars: ✭ 1,106 (+1502.9%)
Mutual labels: caffe
Ssd Models
把极速检测器的门槛给我打下来make lightweight caffe-ssd great again
Stars: ✭ 62 (-10.14%)
Mutual labels: caffe
Bottom Up Attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+1333.33%)
Mutual labels: caffe
Genproto
An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).
Stars: ✭ 56 (-18.84%)
Mutual labels: caffe
Mobilnet ssd opencv
MobilNet-SSD object detection in opencv 3.4.1
Stars: ✭ 64 (-7.25%)
Mutual labels: caffe
Nhyai
AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。
Stars: ✭ 60 (-13.04%)
Mutual labels: caffe
TSN model - Caffe2pytorch
This project transfers tsn-caffe model to tan-pytorch model.
The model dir saves my transferred model. I test them on UCF101 and HMDB51 dataset (split1), and get comparable results with the paper as follows.
| Dataset | RGB | Flow | Fusion |
|---|---|---|---|
| UCF101 | 86.01% | 87.70% | 93.82% |
| HMDB51 | 54.90% | 63.53% | 71.18% |
This project has three steps
- first get .hdf5file from caffemodel by export_to_hdf5.py.
- then use the .hdf5 file to get torch model by googlenet.lua. (Because the kinetics caffe model modified the layer name, there is small change in googlenet_kinetics.lua)
- finally transfer torch model to pytorch model by convert_torch.py.
Something to be noticed:
- You also need to modify test_videos.py because of the problem of state_dict, please see details in test_videos.py
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].