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I am experiencing issues with achieving full reproducibility when running the code. Despite setting the `seed` to `0` and enabling `deterministic=True` in `train.py`, I am noticing that the results ar…
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Hello,
Thanks for this great software package. It has been extremely easy to use and performs great.
For my specific application (light sheet microscopy), I deduced that it may be beneficial to …
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I train my own model and his validation results are always the same on the GlaS dataset
How can I solve this?
Training…
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Hello,
Thank you for your work. I have a question regarding the demo / the functionality of the `cal_giou` and `cal_giou_3d` functions.
It looks like from the demo the inputs must be the same si…
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## 🚀 Feature
How to find the recall of class 0 and class 1 for this code. Sorry the documentation is not clear to me. I can set micro but how to identify overall P and R by class name?
### Motiv…
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下面是tal_loss.py文件的显示， YOLOATSSAssigner，from models.loss.gfocal_loss import VarifocalLoss, BboxLoss这三个文件请问在哪里呢？我找了一圈没找到在哪？
`#!/usr/bin/env python3
# -*- coding:utf-8 -*-
import torch
import torc…
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```python
def train(loader, model, optimizer, total_epochs):
model.train()
global bce_loss_lst, iou_loss_lst, ssim_loss_lst, adapt_weights
step = 0
for current_epoch in range(tota…
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2024-02-19 16:34:22,237 - mmdet - INFO - Iter [4950/120000] lr: 4.000e-04, eta: 6:13:37, time: 0.202, data_time: 0.020, memory: 4061, loss_mask: 0.1048, loss_texture: 0.1240, iou: 0.7859, loss: 0.2288…
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I'm attempting to train the yolo-v2 model and I'm getting MAP issues.
I think it might have to do with the computation of the iou loss. When I visualize the loss output on a test set as a function…
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is it ok if i change iou label to 1 instead of overlap of prediction and groundtruth because i think label need to be stable like 1, not unstable like overlap? thanks!
ghost updated
6 years ago