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fix deprecated numpy types #42

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fix deprecated numpy types #42

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18 changes: 9 additions & 9 deletions omnicv/omnicv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -289,7 +289,7 @@ def cubemap2equirect(self,
tp[:, 7 * w // 8:] = 2

# Prepare ceil mask
mask = np.zeros((h, w // 4), np.bool)
mask = np.zeros((h, w // 4), bool)
idx = np.linspace(-np.pi, np.pi, w // 4) / 4
idx = h // 2 - np.round(np.arctan(np.cos(idx)) * h / np.pi).astype(int)
for i, j in enumerate(idx):
Expand Down Expand Up @@ -386,7 +386,7 @@ def eqruirect2persp(self,
z_map = -np.tile((np.arange(0, Hd) - c_y) * h_interval, [Wd, 1]).T
D = np.sqrt(x_map ** 2 + y_map ** 2 + z_map ** 2)

xyz = np.zeros([Hd, Wd, 3], np.float)
xyz = np.zeros([Hd, Wd, 3], np.float32)
xyz[:, :, 0] = (x_map / D)[:, :]
xyz[:, :, 1] = (y_map / D)[:, :]
xyz[:, :, 2] = (z_map / D)[:, :]
Expand All @@ -400,13 +400,13 @@ def eqruirect2persp(self,
xyz = np.dot(R1, xyz)
xyz = np.dot(R2, xyz).T
lat = np.arcsin(xyz[:, 2] / 1)
lon = np.zeros([Hd * Wd], np.float)
lon = np.zeros([Hd * Wd], np.float32)
theta = np.arctan(xyz[:, 1] / xyz[:, 0])
idx1 = xyz[:, 0] > 0
idx2 = xyz[:, 1] > 0

idx3 = ((1 - idx1) * idx2).astype(np.bool)
idx4 = ((1 - idx1) * (1 - idx2)).astype(np.bool)
idx3 = ((1 - idx1) * idx2).astype(bool)
idx4 = ((1 - idx1) * (1 - idx2)).astype(bool)

lon[idx1] = theta[idx1]
lon[idx3] = theta[idx3] + np.pi
Expand Down Expand Up @@ -464,7 +464,7 @@ def cubemap2persp(self,
y_map = np.tile((np.arange(0, Wd) - c_x) * w_interval, [Hd, 1])
z_map = -np.tile((np.arange(0, Hd) - c_y) * h_interval, [Wd, 1]).T
D = np.sqrt(x_map ** 2 + y_map ** 2 + z_map ** 2)
xyz = np.zeros([Hd, Wd, 3], np.float)
xyz = np.zeros([Hd, Wd, 3], np.float32)
xyz[:, :, 0] = (1 / D * x_map)[:, :]
xyz[:, :, 1] = (1 / D * y_map)[:, :]
xyz[:, :, 2] = (1 / D * z_map)[:, :]
Expand All @@ -478,13 +478,13 @@ def cubemap2persp(self,
xyz = np.dot(R1, xyz)
xyz = np.dot(R2, xyz).T
lat = np.arcsin(xyz[:, 2] / 1)
lon = np.zeros([Hd * Wd], np.float)
lon = np.zeros([Hd * Wd], np.float32)
theta = np.arctan(xyz[:, 1] / xyz[:, 0])
idx1 = xyz[:, 0] > 0
idx2 = xyz[:, 1] > 0

idx3 = ((1 - idx1) * idx2).astype(np.bool)
idx4 = ((1 - idx1) * (1 - idx2)).astype(np.bool)
idx3 = ((1 - idx1) * idx2).astype(bool)
idx4 = ((1 - idx1) * (1 - idx2)).astype(bool)

lon[idx1] = theta[idx1]
lon[idx3] = theta[idx3] + np.pi
Expand Down