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CUDA_VISIBLE_DEVICES=1 python train.py --resume_net=weights/vgg16_reducedfc.pth
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| M2Det Training Pro…
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Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/script_ops.py", line 206, in __call__
ret = func(*args)
File "/home/user10/notebook…
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I used VGG16 end2end algorithm in py-faster-rcnn to train a model. I am trying to get the test scores using the following command.
caffe test -model -weights -gpu 0 -iterations 100
I am getting th…
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When i run python -B main.py -t --batch_size 40 --epochs 200 --base_learning_rate=0.0001 --decay_factor=0.1 --decay_epochs=100 --no_gpus=1
I get the following result in training output:
Training
…
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DLA-34 | 37.4 / 52 | 39.2 / 28 | 41.7 / 4
the paper says use DLA-34 in resulotion 512x512 , could achieve 52fps, (Titian XP)
this means
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# 해결하고자 하는 문제
안녕하세요. 최근 인공지능 모델을 만들며 노는 사람입니다.
최근 몇몇의 모델을 만들면서 든 생각인데,
예로들어 MLP에서 히든레이어의 갯수와 퍼셉트론의 갯수를 어떤기준으로 만들어 넣는지 잘 모르겠습니다.
히든레이어와 퍼셉트론의 갯수를 계속 늘리기에는 오버피팅이 쉽게 일어날것 같고,
조금 넣자니 언더피팅이 날것같습니다…
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### 🐛 Describe the bug
I faced the below issue after training vit_h_14 model with pretrained weights. If I do not load pretrained weights, everything is fine.
# how to reproduce this bug
import t…
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模型用于目标检测
模型来源:
模型vgg16_bn
使用pytorch -> onnx, 在使用onnx转换成paddle时报错
Now translating model from onnx to paddle.
model ir_version: 6, op version: 9
shape inferencing ...
Warning: Unsuppo…
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Using pascal voc 0712 trainval, faster_rcnn_end2end.sh get higher results 77.1 compared to 73.2 on 2007 test:
AP for aeroplane = 0.7876
AP for bicycle = 0.8118
AP for bird = 0.7623
AP for boat = 0…
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I tried retraining model for other sequence, but some custom hardcoded vgg model checkpoint is required that is not provided by the authors.
https://github.com/JingjingRenabc/dlformer/blob/1b15e46e…