🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
-
Updated
Mar 4, 2022 - Python
🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
Implementation of the paper, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", NeurIPS 2015 by Ren et al
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
Solution for ProKI-Hackathon 24. Fine-tuning of DeepLabV3 with ResNet101 backbone and Simulated Annealing.
Crowd counting and analysing techniques using Convolutional Neural Network (ResNet 101). It can process both photos and videos as inputs.
Fullstack project combining a trained ResNet-101, FastAPI, and Streamlit. Upload an image or URL to classify cats vs dogs, with advanced CNN interpretability (Grad-CAM, feature maps, occlusion). Fully reproducible with Poetry and Docker.
This application uses a pre-trained ResNet-101 model to classify animal images.
Add a description, image, and links to the resnet101 topic page so that developers can more easily learn about it.
To associate your repository with the resnet101 topic, visit your repo's landing page and select "manage topics."