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Warp Image by Depth
===================
This example shows how to use the `DepthWarper` in order to warp an image from a reference camera to a destination
by the depth using the epipolar geometry constraints assumig a pinhole camera model.
Downloading the data
====================
You can download the data by running: ``./download_data.sh``
Usage
=====
1. From root, run the docker development or build first if needed: ``//kornia/dev_en.sh``
2. Browse to ``cd /code/kornia/examples/depth_warper``
3. Install the dependencies by running: ``./install_dependencies.sh``
4. Now you can run the example followingthe instructions below:
.. code:: bash
python main.py --input-dir ./data --output-dir ./out --frame-ref-id 2 --frame-i-id 1
.. code:: bash
usage: main.py [-h] --input-dir INPUT_DIR --output-dir OUTPUT_DIR
[--sequence-name SEQUENCE_NAME]
[--frame-ref-id FRAME_REF_ID]
[--frame-i-id FRAME_I_ID] [--cuda]
[--seed S]
Warp images by depth application.
optional arguments:
-h, --help show this help message and exit
--input-dir INPUT_DIR
the path to the directory with the input data.
--output-dir OUTPUT_DIR
the path to output the results.
--sequence-name SEQUENCE_NAME
the name of the sequence.
--frame-ref-id FRAME_REF_ID
the id for the reference image in the sequence.
--frame-i-id FRAME_I_ID
the id for the image i in the sequence.
--cuda enables CUDA training
--seed S random seed (default: 666)
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