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Firstly, thanks for the implementation of the MobileNetV3!
Do you have an interest in implementing the semantic segmentation head described in section 6.4? I am currently planning to implement that…
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`import argparse
import torch
from torch.utils.mobile_optimizer import optimize_for_mobile
from model import MattingNetwork
import torch.utils.data.distributed
rec = (torch.zeros([1, 1, 1, 1, 1…
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aimet version: 1.28
SNPE version: 2.14
deploy platform: SM8550 DSP w8 a8 bias32
I have a model, and the backbone of this model is MobileNetV3. As you know, MobileNetV3 primarily consists of poi…
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Hello Think for your job. When I use your code i meet a question:
Traceback (most recent call last):
File "train.py", line 288, in
trainer.train()
File "train.py", line 182, in train
…
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https://github.com/PaddlePaddle/Paddle-Lite/issues/8908#issue-1210769522
```
# 进行转换
from x2paddle.convert import pytorch2paddle
pytorch2paddle(torch_model,
save_dir="pd_model_tra…
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## 🚀 Feature
List of low-priority features which would be nice to have
- [ ] MMOCR implementation
- [ ] Add GradCAM support: [here](https://github.com/jacobgil/pytorch-grad-cam) and Florian Kats…
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I saw some models available on [tensorflow models](https://tfhub.dev/tensorflow) but as a beginner, I am not very good at using rust to load these models for image recognition
Jzow updated
3 months ago
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运行实例，最终生成不了模型，也没有打印print(" finished !!!"); 不知什么情况：
`
model.train(
num_epochs=10,
train_dataset=train_dataset,
train_batch_size=16,
eval_dataset=eval_dataset,
lr_decay_epoch…
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请说明模型的来源，模型类型（例如图像分类、目标检测等），应用场景（如需要转为Paddle，通过PaddleLite部署到树莓派上，满足XXX需求）
**提示 上述有详细描述的issue会让工程师更快了解用户的需求，丰富产品的功能和易用性，相关issue也会被优先处理！！！**
你们好，
我参加了AI达人训练营，需要做路面分隔，用到了DeeplabV3Plus with Mobile …
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When I observe the result you get based on your model, I find the best one for MobileNetV3 small is still about 7% worse. Could you let me know what the reason might be?