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Update datatypes to be compatible with numpy >= 1.20 #14

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Update datatypes to be compatible with numpy >= 1.20 #14

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af69423
Update loader.py
fnands Jun 15, 2023
85ca89d
Update ba_core.py
fnands Jun 15, 2023
097162a
Update ft_opencv.py
fnands Jun 15, 2023
2d73aa1
Update ft_s2p.py
fnands Jun 15, 2023
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2 changes: 1 addition & 1 deletion bundle_adjust/ba_core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -458,7 +458,7 @@ def save_heatmap_of_reprojection_error(img_path, p, err, input_ims_footprints_lo
track_err_interp = gaussian_filter(track_err_interp, sigma=smooth)

# apply mask of image footprints
mask = np.ones((height, width)).astype(np.bool)
mask = np.ones((height, width)).astype(bool)
for i, aoi_lonlat in enumerate(input_ims_footprints_lonlat):
aoi_utm = geo_utils.utm_geojson_from_lonlat_geojson(aoi_lonlat)
pts2d_utm = np.array(aoi_utm["coordinates"][0])
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2 changes: 1 addition & 1 deletion bundle_adjust/feature_tracks/ft_opencv.py
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Expand Up @@ -52,7 +52,7 @@ def opencv_detect_SIFT(geotiff_path, mask_path=None, offset=None, tracks_config=

if mask_path is not None:
mask = np.load(mask_path)
pts2d_colrow = features_i[:, :2].astype(np.int)
pts2d_colrow = features_i[:, :2].astype(np.int32)
true_if_obs_inside_aoi = mask[pts2d_colrow[:, 1], pts2d_colrow[:, 0]] > 0
features_i = features_i[true_if_obs_inside_aoi, :]

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2 changes: 1 addition & 1 deletion bundle_adjust/feature_tracks/ft_s2p.py
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Expand Up @@ -67,7 +67,7 @@ def detect_features_image_sequence(geotiff_paths, mask_paths=None, offsets=None,
features_i = features_i[features_i[:, 2] > 1.85, :] # min scale allowed is 1.85
if mask_paths is not None:
mask = np.load(mask_paths[i])
pts2d_colrow = features_i[:, :2].astype(np.int)
pts2d_colrow = features_i[:, :2].astype(np.int32)
true_if_obs_inside_aoi = mask[pts2d_colrow[:, 1], pts2d_colrow[:, 0]] > 0
features_i = features_i[true_if_obs_inside_aoi, :]

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4 changes: 2 additions & 2 deletions bundle_adjust/loader.py
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Expand Up @@ -192,11 +192,11 @@ def load_image(path_to_geotiff, offset=None, equalize=False):
"""
if offset is None:
with rasterio.open(path_to_geotiff) as src:
im = src.read().astype(np.float)
im = src.read().astype(np.float32)
else:
y0, x0, h, w = offset["row0"], offset["col0"], offset["height"], offset["width"]
with rasterio.open(path_to_geotiff) as src:
im = src.read(window=((y0, y0 + h), (x0, x0 + w))).squeeze().astype(np.float)
im = src.read(window=((y0, y0 + h), (x0, x0 + w))).squeeze().astype(np.float32)

# we only work with 1-band images
if len(im.shape) > 2:
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