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* face_recognition version: lasted version
* Python version: python3.6
* Operating System: windows10
### Description
I feel like I've found a solution
切换环境可以使用miniconda
![image](https://user-i…
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I originally had 18 classes and used scannet_frames_25k as the training set and used Adam's learning rate decay strategy(#289) to obtain a model which was used as a pre-trained network.
Learning Deca…
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- https://arxiv.org/abs/2104.12533
- 2021
昨年は、Transformerモジュールを視覚問題に適用することが急速に発展しました。
一部の研究者は、Transformerベースのモデルがデータをフィットさせる能力に優れていることを実証しているが、特に学習データが限られている場合には、これらのモデルが過剰にフィットしてしまうことを示す証拠がまだ増えて…
e4exp updated
3 years ago
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# **Read before creating a new issue**
- Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
- If you do not know much about PyTorch, we recommend that the user…
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The following values were not passed to `accelerate launch` and had defaults used instead:
`--num_processes` was set to a value of `1`
`--num_machines` was set to a value of `1`
`--mixed_precisi…
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I just want to know which backbone is good enough to train for a mono 3d prediction task.
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Follow up on dev list discussion:
https://lists.apache.org/thread.html/154ef1e4010671e7375c7a7cbedb413d5a4a3677321488440fb32a3a@%3Cdev.mxnet.apache.org%3E
We have found resnet152 to have a regre…
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Hello,
I start with a ResNet50 onnx file or a VGG19 ONNX file. I compile it to generate a SO file. Everything is working fine.
Now I want perform two things : 1) load/initialize the model in memor…
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**Is your feature request related to a problem? Please describe.**
A good deal of recent literature on quantization/pruning/distillation uses pre-activation resnet (resnetv2) as preliminary results. …
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Base vicreg experiment config
```
Implementation details for pretraining with VICReg on the 1000-classes ImagetNet dataset without
labels are as follows. Coefficients λ and μ are 25 and ν is 1 in…