69 results for “topic:mobilenet-v2”
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
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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
Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
No description provided.
AR/VR Eye Semantic Segmentation - Rank 5th/17 - OpenEDS 2019
No description provided.
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
AI camera surveillance with opencv and object detection (YOLOv8, MobileNetv2, ...)
轻量化卷积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）
Mxnet Implementation of Google's MobileNets v2
Lane segmentation model trained with tensorflow implementation MobileNetV2 based U-Net
Face things on Android
Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV.
PyTorch Mobile starter kit.
Reproduces the paper NIMA: Neural Image Assessment and adapts the model to evaluate designs generated by genetic algorithms.
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.
Replace draknet with mobilenet in pytorch
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.
A Tensorflow implementation of MobileNet V2
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
Integrated object detection, recognition and tracking system using Intel RealSense Depth Cameras
The project discusses an approach to incorporate reinforcement learning with real time object detection for robotic arm applications.