Train images other than 640x640

[ManuBN786]

I am resizing my images to 1920 by making changes in dataloader.yml

{type: Resize, size: [1920, 1920] }
scales: [1440, 1536, 1632, 1728, 1824, 1920, 1920, 1920, 2016, 2112, 2208, 2304, 2400]

and then in rtdetrv2_r50vd.yml as
eval_spatial_size: [1920, 1920]

but even after several epochs I still get mAP as zero

IoU metric: bbox
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000

how to fix this please?