Yolo v3 Model Structure Code Snippet
model structure class CNNBlock(nn.Module): def __init__(self, in_channels, out_channels, kernel_size, padding=0, stride=1): super().__init__() self.conv = nn.Conv2d(in_channels...
model structure class CNNBlock(nn.Module): def __init__(self, in_channels, out_channels, kernel_size, padding=0, stride=1): super().__init__() self.conv = nn.Conv2d(in_channels...
loss function code import torch import torch.nn as nn from utils import intersection_over_union def intersection_over_union(boxes_preds, boxes_labels, box_format="midpoint"): """ This f...
dataset code ANCHORS = [ [(0.28, 0.22), (0.38, 0.48), (0.9, 0.78)], [(0.07, 0.15), (0.15, 0.11), (0.14, 0.29)], [(0.02, 0.03), (0.04, 0.07), (0.08, 0.06)], ] # Note these have been r...
Yolo-v3 Model structure Yolo v3 Model Structure Code Snippet Shape of prediction and target prediction head1: torch.Size([bs, 3, S, S, 5+cls]) head2: torch.Size([bs, 3, S...
general yolo model structure class BackBone(nn.Module): def __init__(self, model: nn.Module, extract_ids: list): super().__init__() self.model...
SSD Model Struct
import packages !pip install pycocotools !wget https://raw.githubusercontent.com/pytorch/vision/main/references/detection/engine.py !wget https://raw.githubusercontent.com/pytorch/vision/main/refe...
# For tips on running notebooks in Google Colab, see # https://pytorch.org/tutorials/beginner/colab %matplotlib inline 官方 torch 2.4.0+cu121 https://pytorch.org/tutorials/intermediate/torchvis...
Faster RCNN two-stage 先通过RPN初步筛选质量还不错的proposal 再通过predict head微调 Model Struct Backbone + RPN + ROIPooling + PredictHead RPN RPNHead cls_logits -> (-1, num_anchors, 1)...
import packages !pip install pycocotools !wget https://raw.githubusercontent.com/pytorch/vision/main/references/detection/engine.py !wget https://raw.githubusercontent.com/pytorch/vision/main/refe...