test: cover image warping and undistortion geometry

[RoboX2020]

Fixes #53.

Replace the five empty reshape-test stubs with geometric checks against analytic intensity ramps:

• warp: half-pixel sampling.
• warp_affine: translation, inverse mapping and border fill.
• warp_perspective: a non-affine homography and inverse mapping.
• undistort: nonzero radial distortion and zero-distortion identity.
• interp2d: pixel coordinates and an explicit input domain.

The expected pixels come from the ramp formulas rather than calling the same OpenCV operations in the assertions. OpenCV checks allow 0.1 intensity-unit absolute error for interpolation differences; SciPy interpolation uses 1e-6. No production code changes.

Validation on Python 3.11:

• 22 reshape tests passed on OpenCV 4.12.0.88 and 5.0.0.93.
• Full suite on OpenCV 5: 959 passed, 97 skipped, 5 subtests passed.
• Each new test failed under its corresponding deliberate mutation (shifted coordinates, ignored matrix, or ignored distortion). All mutations were restored before the final suite run.
• Changed test file passes ruff and black.

The full suite was not run on OpenCV 4; only the reshape suite was run there.

[codacy-production]

Up to standards ✅

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