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Automatically "block" people in images (like Black Mirror) using a pretrained neural network.
| Date | Stars |
|---|---|
| 2026-07-31 | 2014 |
| 2026-08-05 | 2013 |
| 2026-08-06 | 2013 |
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# Person Blocker  A script to automatically "block" people in images (like the [Black Mirror](https://en.wikipedia.org/wiki/Black_Mirror) episode [White Christmas](https://en.wikipedia.org/wiki/White_Christmas_(Black_Mirror))) using [Mask R-CNN](https://github.com/matterport/Mask_RCNN) pretrained on the [MS COCO](https://arxiv.org/abs/1405.0312) dataset. No GPU required! But you can block more than just people: up to [80 different types](https://github.com/minimaxir/person-blocker/blob/master/classes.py) of objects can be blocked, including giraffes and busses! ## Setup This project relies on a handful of dependencies, use the following command to install your dependencies: ```shell pip3 install -r requirements.txt ``` _Note_: Depending on your environment, you may need to use `sudo`. You may also want to use virtualenv. ## Usage Person Blocker is used from the command line: ```shell python3 person_blocker.py -i images/img3.jpg -c '(128, 128, 128)' -o 'bus' 'truck' ``` * `-i/--image`: specifies the image file. * `-m/--model`: path to the pretrained COCO model weights (default: current directory): if not specified, it will download them automatically to the current directory if not already present (note: the weights are 258 MB!) * `-c/--color`: color of the mask, in either quote-wrapped hexidecimal or 3-element RGB tuple format. (default: white) * `-o/--object`: list of types of objects to block (or object IDs of specific objects). You can see the allowable choices of objects to block in `classes.py` or by using the `-names` flag. (default: person) * `-l/--labeled`: saves a labeled image annotated with detected objects and their object ID. * `-n/--names`: prints the class options for objects, then exits. The script outputs two images: a static (pun intended) image `person_blocked.png` and an animated image `person_blocked.gif` like the one at the beginning of this README. ## Examples ```shell python3 person_blocker.py -i images/img1.jpg ```  ```shell python3 person_blocker.py -i images/img2.jpg -c '#c0392b' -o 'giraffe' ```  ```shell python3 person_blocker.py -i images/img3.jpg -c '(128, 128, 128)' -o 'bus' 'truck' ```  Blocking specific object(s) requires 2 steps: running in inference mode to get the object IDs for each object, and then blocking those object IDs. ```shell python3 person_blocker.py -i images/img4.jpg -l ```  ```shell python3 person_blocker.py -i images/img4.jpg -o 1 ```  ## Requirements The same requirements as Mask R-CNN: * Python 3.4+ * TensorFlow 1.3+ * Keras 2.0.8+ * Numpy, skimage, scipy, Pillow, cython, h5py plus matplotlib and imageio ## Maintainer Max Woolf ([@minimaxir](http://minimaxir.com)) *Max's open-source projects are supported by his [Patreon](https://www.patreon.com/minimaxir). If you found this project helpful, any monetary contributions to the Patreon are appreciated and will be put to good creative use.* ## License MIT Code used from Mask R-CNN by Matterport, Inc. (MIT-Licensed), with minor alterations and copyright notices retained.
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Max Woolf · @buzzfeed · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c2387efae98df1ff, llm:Description: 'Automatically "block" people in images (like Black Mirror) using a pretrained neural network.' Language: Python. No topics provided.
matched fp:c2387efae98df1ff, llm:Description: 'Automatically "block" people in images (like Black Mirror) using a pretrained neural network.' Language: Python. No topics provided.