Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

🎥 Add example for video frames #136

Merged
merged 2 commits into from
Aug 31, 2021
Merged

🎥 Add example for video frames #136

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d2fa15e
leave some of the notebook output
leblancfg Feb 17, 2021
5a0f6b9
Update README with steps for video frames
leblancfg Aug 31, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 14 additions & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,19 @@ Further examples and use cases are found in the [accompanying Jupyter Notebook](

If no output folder is added, asks for confirmation and destructively crops images in-place.

#### Detecting faces from video files
You can use autocrop to detect faces in frames extracted from a video. A great way to [perform the frame extraction step is with `ffmpeg`](https://ffmpeg.org/download.html):

```sh
mkdir frames faces

# Extract one frame per second
ffmpeg -i input.mp4 -filter:v fps=fps=1/60 frames/ffmpeg_%0d.bmp

# Crop faces as jpg
autocrop -i frames -o faces -e jpg
```


## Supported file types

Expand Down Expand Up @@ -119,7 +132,7 @@ pip install .
~~~

### conda
Development of a `conda-forge` package for the [Anaconda Python distribution](https://www.anaconda.com/download/) is also currently slated for development. Please leave feedback on [issue #7](https://github.com/leblancfg/autocrop/issues/7) if you are insterested in helping out.
Development of a `conda-forge` package for the [Anaconda Python distribution](https://www.anaconda.com/download/) is currently stalled due to the complexity of setting up the workflow with OpenCV. Please leave feedback on [issue #7](https://github.com/leblancfg/autocrop/issues/7) to see past attempts if you are insterested in helping out!

## Requirements
Best practice for your projects is of course to [use virtual environments](http://docs.python-guide.org/en/latest/dev/virtualenvs/). At the very least, you will need to [have pip installed](https://pip.pypa.io/en/stable/installing/).
Expand Down
35 changes: 8 additions & 27 deletions tests/visual_tests.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2020-03-23T19:44:29.134965Z",
Expand Down Expand Up @@ -49,25 +49,15 @@
"metadata": {},
"output_type": "execute_result"
}
},
"outputs": [],
],
"source": [
"img_array = c.crop(loc)\n",
"PIL.Image.fromarray(img_array)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"PIL.Image.fromarray(c.crop(img_array))"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2020-03-23T19:44:37.012712Z",
Expand Down Expand Up @@ -97,7 +87,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2020-03-23T19:44:32.387838Z",
Expand All @@ -122,7 +112,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2020-03-23T19:44:32.604788Z",
Expand Down Expand Up @@ -160,7 +150,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2020-03-23T19:44:32.734430Z",
Expand Down Expand Up @@ -198,7 +188,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2020-03-23T19:44:35.895830Z",
Expand Down Expand Up @@ -342,15 +332,6 @@
"## `_crop_postions`"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"## `_crop_postions`"
]
},
{
"cell_type": "code",
"execution_count": 13,
Expand Down Expand Up @@ -458,7 +439,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.8.0"
}
},
"nbformat": 4,
Expand Down