class FocalLoss(nn.Module): # 标签coco是xywh但是在加载的时候好像转化成了xyxy # anno torch.Size([1,9,5]) xyxy catagory defforward(self, classifications, regressions, anchors, annotations): alpha =0.25gamma =2.0batch_size = classifications.shape[0] classification_losses = [] regression_losses =...
懒,就直接用Resnet50了 先写个残差块 class Bottleneck(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, downsample=None): super(Bottleneck, s
self.bn1 = nn.BatchNorm2d(planes) #3*3 self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride, padding=1, bias=False) self.bn2 = nn.BatchNorm2d(planes) # channels*4 self.conv3 = nn.Conv2d(planes, planes*4, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm2...
We will use PyTorch to implement an object detector based on YOLO v3, one of the faster object detection algorithms out there. The code for this tutorial is designed to run on Python 3.5, and PyTorch0.4. It can be found in it's entirety at thisGithub repo. This tutorial is broken into...
Llama is a transformer-based model for language modeling. Meta AI open-sourced Llama this summer, and it's gained a lot of attention (pun intended). When you're reading the introduction, they clearly indicate their goal: make a model that's cheaper for running inference, rather than optimiz...
This code is only mean't as a companion to the tutorial series and won't be updated. If you want to have a look at the ever updating YOLO v3 code, go to my other repo athttps://github.com/ayooshkathuria/pytorch-yolo-v3 Also, the other repo offers a lot of customisation options, ...
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https://blog.paperspace.com/how-to-implement-a-yolo-v3-object-detector-from-scratch-in-pytorch-part-2/ *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。
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。
from backend.patcher.lora import merge_lora_to_model_weight, LoraLoader from backend import memory_management, utils from backend.patcher.lora import LoraLoader def set_model_options_patch_replace(model_options, patch, name, block_name, number, transformer_index=None): @@ -229,7 +227,6 @@ ...