Skip to content

[Bugfix] 修复 Perspective 投影类的纵横比计算错误及边缘伪影 Fix geometric distortion and edge artifacts in Perspective projection #50

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
+7 −7
Open

[Bugfix] 修复 Perspective 投影类的纵横比计算错误及边缘伪影 Fix geometric distortion and edge artifacts in Perspective projection #50

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions hy3dworld/utils/perspective_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,14 +37,14 @@ def __init__(self, img_name=None, FOV=None, THETA=None, PHI=None, img_width=512,
self.THETA = THETA
self.PHI = PHI
if self._width > self._height:
self.wFOV = FOV
self.hFOV = (float(self._height) / self._width) * FOV
self.w_len = np.tan(np.radians(FOV / 2.0))
self.h_len = self.w_len * float(self._height) / self._width
else:
self.wFOV = (float(self._width) / self._height) * FOV
self.hFOV = FOV
self.h_len = np.tan(np.radians(FOV / 2.0))
self.w_len = self.h_len * float(self._width) / self._height

self.w_len = np.tan(np.radians(self.wFOV / 2.0))
self.h_len = np.tan(np.radians(self.hFOV / 2.0))
self.wFOV = np.degrees(2 * np.arctan(self.w_len))
self.hFOV = np.degrees(2 * np.arctan(self.h_len))

def GetEquirec(self, height, width, img=None):
#
Expand Down Expand Up @@ -99,7 +99,7 @@ def GetEquirec(self, height, width, img=None):
0)
# Remap the image using the longitude and latitude maps
persp = cv2.remap(self._img, lon_map.astype(np.float32), lat_map.astype(
np.float32), cv2.INTER_CUBIC, borderMode=cv2.BORDER_WRAP) # BORDER_CONSTANT) #))
np.float32), cv2.INTER_CUBIC, borderMode=cv2.BORDER_CONSTANT, borderValue=(0, 0, 0))
# Apply the mask to the equirectangular image
mask = mask * inverse_mask
mask = np.repeat(mask[:, :, np.newaxis], 3, axis=2)
Expand Down