finished docker manylinux compliation for pypi

This commit is contained in:
ykcheungab
2026-08-03 17:07:54 +08:00
parent 3117ddd5b9
commit d7c5845646
31 changed files with 709 additions and 52 deletions
+3 -3
View File
@@ -72,11 +72,11 @@ def main():
grid_spacing=20,
arrow_scale=1.0
)
cv2.imshow("形变矢量场", arrows)
cv2.imshow("arrow", arrows)
# 步骤 3.2:显示接触区域和质心
image_with_foe = orisys.util.draw_contact(img, contour, centroid)
cv2.imshow("接触区域与质心", image_with_foe)
cv2.imshow("contact", image_with_foe)
# 步骤 3.3:显示深度图
# 将深度值归一化到 0-255 范围
@@ -87,7 +87,7 @@ def main():
div_normalized = np.zeros_like(div_abs, dtype=np.uint8)
# 应用伪彩色映射
cv2.imshow("深度图", cv2.applyColorMap(div_normalized, cv2.COLORMAP_JET))
cv2.imshow("depth", cv2.applyColorMap(div_normalized, cv2.COLORMAP_JET))
# 步骤 3.4:打印关键结果
print(
+3 -3
View File
@@ -72,11 +72,11 @@ def main():
grid_spacing=20,
arrow_scale=1.0
)
cv2.imshow("形变矢量场", arrows)
cv2.imshow("arrows", arrows)
# 步骤 3.2:显示接触区域和质心
image_with_foe = orisys.util.draw_contact(img, contour, centroid)
cv2.imshow("接触区域与质心", image_with_foe)
cv2.imshow("contact", image_with_foe)
# 步骤 3.3:显示深度图
# 将深度值归一化到 0-255 范围
@@ -87,7 +87,7 @@ def main():
div_normalized = np.zeros_like(div_abs, dtype=np.uint8)
# 应用伪彩色映射
cv2.imshow("深度图", cv2.applyColorMap(div_normalized, cv2.COLORMAP_JET))
cv2.imshow("depth", cv2.applyColorMap(div_normalized, cv2.COLORMAP_JET))
# 步骤 3.4:打印关键结果
print(