adding final dependency geopandas and tidying up meta.yaml
@@ -6,9 +6,8 @@ package:
version: {{ version }}
source:
- url: https://github.com/localdevices/pyorc/archive/refs/tags/v0.2.0.tar.gz
- sha256: 97383d1382da61dd144dd3bc0f76323cd6c947bb682ec3a7b2455b3dae938f2c
-
+ url: https://github.com/localdevices/pyorc/archive/refs/tags/v0.2.1.tar.gz
+ sha256: 985d4afff0a38384ead1076c89e1a86c75225b4f19bb00d1ee57e324caff8ab2
build:
noarch: python
script: {{ PYTHON }} -m pip install . -vv
@@ -30,6 +29,7 @@ requirements:
- cartopy
- descartes
- geojson
+ - geopandas
- geos
- gitpython
- jupyter
@@ -55,7 +55,7 @@ requirements:
# - libgl1-mesa-glx
- ffmpeg # [not win]
- glib # [unix]
- - xorg-libxfixes
+ - xorg-libxfixes # [linux]
test:
imports:
- pyorc
@@ -66,12 +66,13 @@ test:
about:
home: https://pypi.org/project/pyopenrivercam/
- summary: 'processing videos of streams into surface velocity estimates and river flow'
+ summary: 'Measure river and stream's surface velocity and river flow from UAV, smartphone or IP camera videos'
description: |
- pyOpenRiverCam is an open-source API for estimating surface velocity and river flow from IP or smartphone camera
- videos. It performs preprocessing, velocimetry estimation, spurious velocity filtering, cross section sampling,
+ pyOpenRiverCam is an open-source API for estimating surface velocity and river flow from IP, drone or smartphone camera
+ videos. It performs preprocessing, surface velocity estimation, spurious velocity filtering, cross section sampling,
infilling of missings, and integration to discharge. A user only needs to perform light field work and collect
- videos. It is pure python code.
+ videos. It is pure python code and therefore easy to take up in your own software project or perform research with or
+ develop new features.
license: GPL-3.0-only
license_family: GPL
license_file: LICENSE
