https://github.com/charleslf2/visionner

Visionner turn raw image data into numpy array, more suitable for deep learning task
https://github.com/charleslf2/visionner

computer-vision dataset image machine-learning python python3

Last synced: 4 days ago
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Visionner turn raw image data into numpy array, more suitable for deep learning task

• Host: GitHub
• URL: https://github.com/charleslf2/visionner
• Owner: charleslf2
• Created: 2023-01-09T12:26:54.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-06T09:46:43.000Z (over 1 year ago)
• Last Synced: 2025-02-02T10:32:50.083Z (17 days ago)
• Topics: computer-vision, dataset, image, machine-learning, python, python3
• Language: Python
• Homepage: https://charleslf2.github.io/visionner/
• Size: 227 KB
• Stars: 10
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Installation

- step 1 

```bash

git clone https://github.com/charleslf2/visionner

```  

- step 2

```bash

cd visionner

```

- step 3 

```bash

py setup.py install

```

# Usage

```python3

>>> from visionner.core import DatasetImporter

>>> your_dataset=DatasetImporter("path/to/your/dataset/", size=(28, 28))

```

```python3

>>> from visionner.core import SupervisedImporter

>>> features, labels= SupervisedImporter("path/to/your/dataset", categories=["cat", "dog"], size=(28,28))

```

```python3

### normalize your dataset

>>> from visionner.core import DatasetNormalizer

>>> your_normalized_dataset=DatasetNormalizer(your_dataset)

```

```python3

### create a trainset and a testset

>>> from visionner.core import TrainTestSpliter

>>> x_train, x_test=TrainTestSpliter(dataset, test_size=0.2)

```

```python3

### visualize the first image of your dataset

>>> import matplotlib.pyplot as plt 

>>> plt.imshow(your_dataset[0])

>>> plt.show()

```

```python3

### save your dataset

>>> from visionner.core import DatasetSaver

>>> DatasetSaver("my_saved_dataset", your_dataset)

```

```python3

### open your dataset

>>> from visionner.core import DatasetOpener

>>> my_saved_dataset=DatasetOpener("my_saved_dataset.npy") 

```