Some questions about inference function

[lucaskyle]

after running wlfw dataset and models, i got confused....

File "tools/test.py", line 78, in main nme, predictions = function.inference(config, test_loader, model)

File 'lib/core/function.py ', line 194, in inference preds = decode_preds(score_map, meta['center'], meta['scale'], [64, 64])

File 'lib/core/evolution.py ', line 64, in decode_preds coords = get_preds(output) # shape （8,98,2）
actually, thats the matrix number of the greatest value in 64*64 output matrix. also, i think that number should be int. i dont understand why u just let coords[n][p] += diff.sign() * .25
and coords += 0.5