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We were trying to run CPU training of DyGraph Mobilenet using the default Imagenet dataset but it takes a lot of time. Do you think it's possible that you could add smaller flowers dataset as an optio…
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This project is all about image classification by using the
deep neural network (DNN) or also known as Deep Learning
by using framework TensorFlow. Python is used as a
programming language because …
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## Problem statement
1. 사전학습에 400M pairs를 사용해야 하는 CLIP을 조금 더 data-efficient하게 학습시켜보자
## Baseline
- CLIP
- contrastive loss 활용해 image와 text의 유사도를 계산
- 데이터셋 내의 이미지와 텍스트를 1번 사용하기 때문에 4…
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**System Information (please complete the following information):**
- Model Builder or CLI Version: 16.6.3.2136603
- Model Builder GPU Support Version: 16.6.3.2136603
- Visual Studio Version (if…
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where can i get the **main.py** file showed in module usage tutorials as below？
```
python main.py -c paddlex/configs/image_classification/PP-LCNet_x1_0.yaml \
-o Global.mode=check_dataset \
…
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Hi! 👋
I'm using MobileNet to extract features and train a new classifier, but the training fails to produce a coherent model almost all the time on smartphones and tablets. Instead of going down t…
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模型训练代码
`model = hub.Module(
name='resnet50_vd_imagenet_ssld',
label_list=["roses", "tulips", "daisy", "sunflowers", "dandelion"],
load_checkpoint=None)
optimizer = paddle.optimizer.Ad…
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This issue involves implementing the K-Nearest Neighbors (KNN) algorithm for the Iris Flower Classification task. The goal is to classify different species of iris flowers based on their features, suc…
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- 版本、环境信息
1） paddle.version '2.0.2' paddlehub.version：'2.0.4'
2）ubuntu 20.04
通过以下方式finetune，
trainer = Trainer(model, optimizer, checkpoint_dir='tvlogo', use_gpu=True)
trainer.train(logos, epochs…
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I wonder how to use other datasets for training Thanks!