EasyIDP
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A handy tool for dealing with region of interest (ROI) on the image reconstruction (Metashape & Pix4D) outputs, mainly in agriculture applications
```python def back2raw_one2one(ms, coords, img_name): return ms._back2raw_one2one( ms._world2local(ms._crs2world(coords)), img_name ) ```
in some cases, need to use open3d for further processing
reproduce: ```python >>> pcd x y z r g b nx ny nz 0 368057.379 3956051.919 96.685 177 177 161 nodata nodata nodata 1 368057.405 3956051.796 96.689 144 141 122...
I am working on a jupyter notebook that hopefully can serve to help others understand the workflow and provide some wording familiar to drone users for environmental surveys. I'll be...
No need to open project by metashape e.g. `show_chunk_info` ```python ID label -- ----- [0] Chunk 0 [1] Merged Chunk ```
Thanks a lot for making this contribution, I will leave this PR for further discussion. Before commiting, I run the pytest on my local machine every time. This non-reproducible problem...
Just like the pix4d Object: `Pix4D(project_path=None, raw_img_folder=None)` In case the user changed the path of raw image folder and the project file #95
local coordinates.
Develop drafts: `EasyIDP/dev.notes/007_xxx.ipynb` --- This ROI uses `` create by QGIS **Local Coordiantes**  ```python >>> roi = idp.ROI(roi_path) >>> roi.crs Name: Local Coordinates (m) Axis Info [cartesian]: - [east]:...
I wonder if you would consider eventually adding support for [OpenDroneMap](https://github.com/OpenDroneMap/ODM) reconstructions. This could be useful for users aiming to build an entirely open-source workflow. ODM internally uses [OpenSfM](https://github.com/mapillary/OpenSfM) for...