Document feedback

Question document fragment

When a question document fragment contains a formula, it is displayed as a space.

Submission type

issue

It's a little complicated...

I'd like to ask someone.

Please select the submission type

Problem type

Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

- Incorrect links, empty cells, or wrong formats.

- Chinese characters in English context.

- Minor inconsistencies between the UI and descriptions.

- Low writing fluency that does not affect understanding.

- Incorrect version numbers, including software package names and version numbers on the UI.

Usability

- Usability:

- Incorrect or missing key steps.

- Missing main function descriptions, keyword explanation, necessary prerequisites, or precautions.

- Ambiguous descriptions, unclear reference, or contradictory context.

- Unclear logic, such as missing classifications, items, and steps.

Correctness

- Correctness:

- Technical principles, function descriptions, supported platforms, parameter types, or exceptions inconsistent with that of software implementation.

- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- Incorrect code.

- Commands inconsistent with the functions.

- Wrong screenshots.

- Sample code running error, or running results inconsistent with the expectation.

Risk Warnings

- Risk Warnings:

- Lack of risk warnings for operations that may damage the system or important data.

Content Compliance

- Content Compliance:

- Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions.

- Copyright infringement.

Please select the type of question

Problem description

Describe the bug so that we can quickly locate the problem.

Submit

Document feedback

mindspore.dataset.vision.AdjustGamma

class mindspore.dataset.vision.AdjustGamma(gamma, gain=1)

Apply gamma correction on input image. Input image is expected to be in <…, H, W, C> or <H, W> format.

$$I_{\text{out}}=255\times \text{gain}\times {\left(\frac{I_{\text{in}}}{255}\right)}^{\gamma }$$

See Gamma Correction for more details.

Parameters

• gamma (float) – Non negative real number. The output image pixel value is exponentially related to the input image pixel value. gamma larger than 1 make the shadows darker, while gamma smaller than 1 make dark regions lighter.

• gain (float, optional) – The constant multiplier. Default: 1.0.

Raises

• TypeError – If gain is not of type float.

• TypeError – If gamma is not of type float.

• ValueError – If gamma is less than 0.

• RuntimeError – If given tensor shape is not <H, W> or <…, H, W, C>.

Supported Platforms:

CPU

Examples

>>> transforms_list = [vision.Decode(), vision.AdjustGamma(gamma=10.0, gain=1.0)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns=["image"])