Comments (2)
While you're at it, maybe you can also replace in get_unique_craters.py:
pix_to_km = ((P[llbd][id][3] - P[llbd][id][2]) *
(np.pi / 180.0) * r_moon / dim)
long_central = 0.5 * (P[llbd][id][0] + P[llbd][id][1])
lat_central = 0.5 * (P[llbd][id][2] + P[llbd][id][3])
deg_per_pix = ((P[llbd][id][3] - P[llbd][id][2]) / dim /
P[distcoeff][id][0])
lat_deg = lat_central - deg_per_pix * (lat_pix - 128.)
long_deg = long_central + (deg_per_pix * (long_pix - 128.) /
np.cos(np.pi * lat_deg / 180.))
with the proper functions from transform.py?
from deepmoon.
See #10
from deepmoon.
Related Issues (15)
- bug somewhere in get_unique_craters.py HOT 3
- uploading datasets HOT 5
- Possible CNN tests following `mltest`
- Please mention the Projection of DEM image HOT 3
- Can you provide Mercury DEM images? HOT 4
- Do you encounter a situation in which the loss is equal to βNanβ during operation?
- About "USGS Astrogeology Cloud Processing service"
- Data Leakage
- I encountered a format type problem
- During data preprocessing, please run minn, maxx = np.min(img[img > 0]), np.max(img[img > 0]) ValueError: zero-size array to reduction operation minimum which has no identity
- Can anyone help to explain the function estimate_longlatdiamkm
- Unit tests need to be revised, and created for `model_training.py` and `get_unique_craters.py` HOT 2
- Py 2.7/3.5+ and Keras 2/TF 1 compatibility needs to be tested. HOT 6
- `pytest test_get_unique_craters.py` returns no detections in (my environment for) Python 3 HOT 2
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