There are 6 repositories under mobilenet-v2 topic.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
Face Alignment by Mobilenetv2
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
AR/VR Eye Semantic Segmentation - Rank 5th/17 - OpenEDS 2019
Binary semantic segmentation with UNet based on MobileNetV2 encoder
Retrain a MobileNet V1 or V2 model and use it in the browser with TensorFlow.js
Fast neural style with MobileNetV2 bottleneck blocks
MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network
轻量化卷积神经网络实现(SqueezeNet/MobileNet/ShuffleNet/MnasNet)
Lane segmentation model trained with tensorflow implementation MobileNetV2 based U-Net
PyTorch Mobile starter kit.
Reproduces the paper NIMA: Neural Image Assessment and adapts the model to evaluate designs generated by genetic algorithms.
AI camera surveillance with opencv and object detection (YOLOv8, MobileNetv2, ...)
Replace draknet with mobilenet in pytorch
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
It's a fun app for getting quotes based on the object present in the image. It uses mobilenetv1.tflite and yolov2_tiny.tflite model for object detection.
This is an open source project on the deployment of deep learning to embedded microprocessors. The project establishes a data set for obstacle recognition of blind travel environment, and trains a simplified MoblieNet model in TensorFlow. Finally, the binary file of the model is deployed on the UNCLEO-STM32H7A3ZIT-Q development board to realize the function of obstacle detection of blind travel environment.
Cross-platform smartphone app capable of detecting skin cancer lesions using Computer Vision.
A Tensorflow implementation of MobileNet V2
Integrated object detection, recognition and tracking system using Intel RealSense Depth Cameras
Computer Vision and its application in Autonomous Vehicles
A tensorflow implement for MobileNet_V2
Use pytorch to implement some classifer network
🤖️ Optimized CUDA Kernels for Fast MobileNetV2 Inference
Implementation of Mobilenet V2 for binary image classification of dogs and cats using Keras and TensorFlow. 📚 Trained on a dataset of dogs and cats images, with customizable scripts for training, testing, and prediction on new data. 📊🛠️