efficientdet-keras

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Bumps [numpy](https://github.com/numpy/numpy) from 1.17.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.13.2 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependabot[bot]

Bumps [pillow](https://github.com/python-pillow/Pillow) from 8.2.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependabot[bot]

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.1.2.30 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependabot[bot]

图片尺寸问题，

1

在对图片进行缩放然后进行检测，就会出现p5_td = self.conv5_up(self.swish(weight[0] * p5_in_1 + weight[1] * self.p5_upsample(p6_td))) RuntimeError: The size of tensor a (11) must match the size of tensor b (12) at non-singleton dimension 3。此时输入图片的尺寸[256,344]。p5_in_1=[1,64,8,11], self.p5_upsample(p6_td)=[1,64,8,12]，输入的图片高和宽必须要保证一定的比例才行吗？有解决的方法吗？

tangfayuan

Help to use IOU metric

3

Hi, I want to use a metric like IOU for training. How can I define an IOU metric for training? Thanks.

RaminNateghi

满屏幕的框

1

博主我在获取get_dr_txt的时候发现confidence设置为0.001，这导致我预测的时候出现1000多个框，这是为什么

DreamRiverForever

你好，我根据提供的训练步骤进行训练自己的数据集，我的数据集有1000张，大小为80x80，一共训练了40个epoch(不冻结和冻结分别20)，loss降到0.26左右，但是预测是啥都检测不到，我输出了了一下result，是空的，这是为什么呀，求解答~

manan15105411262

freeze_layers设置的问题

1

你好。 你设置的freeze_layers是[226,328,328,373,463,565,655,802] 我想问一下这样设置的理由是什么？ 而且感觉这样设置好像很吃显存，我显卡12G的，用b3进行训练，batch分别是4和2。50epoch前训练没问题，过了50ephoch后就爆掉了。请问是和这个设置freeze_layers有关系吗？是不是该设小一点呢？

OkuChou

权重能不能麻烦换个地方 比如google drive 或者github 的release

1

百度盘下载只有20kb/s左右 这都0202年了... gdrive都能跑满我的宽带...

yaochenglouis