There are 5 repositories under mobilenet-v2 topic.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), 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
Lane segmentation model trained with tensorflow implementation MobileNetV2 based U-Net
轻量化卷积神经网络实现(SqueezeNet/MobileNet/ShuffleNet/MnasNet)
PyTorch Mobile starter kit.
Replace draknet with mobilenet in pytorch
Reproduces the paper NIMA: Neural Image Assessment and adapts the model to evaluate designs generated by genetic algorithms.
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.
A Tensorflow implementation of MobileNet V2
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
AI camera surveillance with opencv and object detection (YOLOv8, MobileNetv2, ...)
Computer Vision and its application in Autonomous Vehicles
Cross-platform smartphone app capable of detecting skin cancer lesions using Computer Vision.
A tensorflow implement for MobileNet_V2
Integrated object detection, recognition and tracking system using Intel RealSense Depth Cameras
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. 📊🛠️