🔥🔥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)🔥🔥 - yyj8209/nsfw-resnet
classResNet(nn.Module):def__init__(self, num_classes, block, layers):self.inplanes =64super(ResNet, self).__init__()# 7*7self.conv1 = nn.Conv2d(3,64, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = nn.BatchNorm2d(64) self.relu = nn.ReLU(inplace=True)# 3...
🔥🔥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)🔥🔥 - yangbisheng2009/nsfw-resnet
class ResNet(nn.Module): def __init__(self, num_classes, block, layers): self.inplanes = 64 super(ResNet, self).__init__() # 7*7 self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = nn.BatchNorm2d(64) self.relu = nn.ReLU(inplac...
https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/ *首先翻译遵循不删不改的原则有一说一,对容易起到歧义的中文采取保留英文的方式。其中对原文没有删减但是略有扩充,其中某些阐释是我一句话的总结,如有错误请大家在留言区指出扶正。
memory_size_in_mb is set as 6 GB to serve the underline Transformer and ResNet models. See the following code: text_predictor = clip_text_model.deploy( instance_type='ml.c5.xlarge', initial_instance_count=1, serverless_inference_config=...
such as ResNet,DenseNet,Inception,and so on,without diving deep into the math behind them. You will see how to build,train and scale a model with PyTorch and dive into complex neural networks such as generative networks and Autoencoders for producing text and images. Furthermore,you will ...
Our new workDeep High-Resolution Representation Learning for Human Pose Estimationhas already been released athttps://github.com/leoxiaobin/deep-high-resolution-net.pytorch. The best single HRNet can obtain anAP of 77.0on COCO test-dev2017 dataset and92.3% of PCKh@0.5on MPII test set. The new...
Difference betweenPyTorch-styleandCaffe-styleResNet is the position of stride=2 convolution Environment The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs are needed. The code is developed and tested using 4 NVIDIA P100 GPU cards. Other platforms or GPU cards are not fully test...
Transformer とResNet モデルをサポートするために、memory_size_in_mb は6 GB に設定されています。以下のコードを参照してください: text_predictor = clip_text_model.deploy( instance_type='ml.c5.xlarge', initial_instance_count=1, serverless_inference_config...