[Fix] Resize interpolation difference CV2 and Pillow to come closer with docTR

[felixdittrich92]

This PR:

• move to Pillow for resizing to overcome the interpolation mismatch between CV2 and Pillow

[codecov-commenter]

:warning: Please install the to ensure uploads and comments are reliably processed by Codecov.

Codecov Report

Attention: Patch coverage is 97.05882% with 1 line in your changes missing coverage. Please review.

Project coverage is 97.86%. Comparing base (03a1277) to head (0f05709).

Files	Patch %	Lines
onnxtr/transforms/base.py	96.42%	1 Missing :warning:

:exclamation: Your organization needs to install the Codecov GitHub app to enable full functionality.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #22 +/- ## ========================================== + Coverage 97.81% 97.86% +0.05% ========================================== Files 63 63 Lines 1920 1920 ========================================== + Hits 1878 1879 +1 + Misses 42 41 -1 ``` | [Flag](https://app.codecov.io/gh/felixdittrich92/OnnxTR/pull/22/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Felix+Dittrich) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/felixdittrich92/OnnxTR/pull/22/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Felix+Dittrich) | `97.86% <97.05%> (+0.05%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Felix+Dittrich#carryforward-flags-in-the-pull-request-comment) to find out more.

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.

[felixdittrich92]

Overview:

Before:

(1024, 1024, 1)
(1024, 1024, 1)
Det model: db_resnet34
Mean difference between DOCTR and ONNXTR prob maps: 0.00266014
(1024, 1024, 1)
(1024, 1024, 1)
Det model: db_resnet50
Mean difference between DOCTR and ONNXTR prob maps: 0.00546016
(1024, 1024, 1)
(1024, 1024, 1)
Det model: db_mobilenet_v3_large
Mean difference between DOCTR and ONNXTR prob maps: 0.00505121
(1024, 1024, 1)
(1024, 1024, 1)
Det model: linknet_resnet18
Mean difference between DOCTR and ONNXTR prob maps: 0.00332537
(1024, 1024, 1)
(1024, 1024, 1)
Det model: linknet_resnet34
Mean difference between DOCTR and ONNXTR prob maps: 0.00293290
(1024, 1024, 1)
(1024, 1024, 1)
Det model: linknet_resnet50
Mean difference between DOCTR and ONNXTR prob maps: 0.00237311
(1024, 1024, 1)
(1024, 1024, 1)
Det model: fast_tiny
Mean difference between DOCTR and ONNXTR prob maps: 0.07307008
(1024, 1024, 1)
(1024, 1024, 1)
Det model: fast_small
Mean difference between DOCTR and ONNXTR prob maps: 0.07393986
(1024, 1024, 1)
(1024, 1024, 1)
Det model: fast_base
Mean difference between DOCTR and ONNXTR prob maps: 0.07267220

After:

(1024, 1024, 1)
(1024, 1024, 1)
Det model: db_resnet34
Mean difference between DOCTR and ONNXTR prob maps: 0.00000007
(1024, 1024, 1)
(1024, 1024, 1)
Det model: db_resnet50
Mean difference between DOCTR and ONNXTR prob maps: 0.00005615
(1024, 1024, 1)
(1024, 1024, 1)
Det model: db_mobilenet_v3_large
Mean difference between DOCTR and ONNXTR prob maps: 0.00003883
(1024, 1024, 1)
(1024, 1024, 1)
Det model: linknet_resnet18
Mean difference between DOCTR and ONNXTR prob maps: 0.00000575
(1024, 1024, 1)
(1024, 1024, 1)
Det model: linknet_resnet34
Mean difference between DOCTR and ONNXTR prob maps: 0.00002059
(1024, 1024, 1)
(1024, 1024, 1)
Det model: linknet_resnet50
Mean difference between DOCTR and ONNXTR prob maps: 0.00000474
(1024, 1024, 1)
(1024, 1024, 1)
Det model: fast_tiny
Mean difference between DOCTR and ONNXTR prob maps: 0.07032311
(1024, 1024, 1)
(1024, 1024, 1)
Det model: fast_small
Mean difference between DOCTR and ONNXTR prob maps: 0.07004898
(1024, 1024, 1)
(1024, 1024, 1)
Det model: fast_base
Mean difference between DOCTR and ONNXTR prob maps: 0.07088637