Open winnechan opened 5 years ago
mil_prob = test_img(im, mil_model, base_image_size, mean) mil_prob = mil_prob.data.cpu().float().numpy() ... for jj in xrange(prec.shape[1]): f = interp1d(precision_score['thresh'][jj][:,0], precision_score['prec'][jj][:,0]) #prec[:, jj] = f(mil_prob[:, jj]) prec[:, jj] = mil_prob[:, jj] mil_prec = prec
mil_prob = test_img(im, mil_model, base_image_size, mean)
mil_prob = mil_prob.data.cpu().float().numpy()
...
for jj in xrange(prec.shape[1]):
f = interp1d(precision_score['thresh'][jj][:,0], precision_score['prec'][jj][:,0])
#prec[:, jj] = f(mil_prob[:, jj])
prec[:, jj] = mil_prob[:, jj]
mil_prec = prec
the code seems only copy values in mil_prob to mil_prec ? the value shown in the example, what does that mean ? why need the coco_valid1_eval.pkl ? what does the content of coco_valid1_eval.pkl mean ?
i am confused, can someone help ?
mil_prob = test_img(im, mil_model, base_image_size, mean)mil_prob = mil_prob.data.cpu().float().numpy()...for jj in xrange(prec.shape[1]):f = interp1d(precision_score['thresh'][jj][:,0], precision_score['prec'][jj][:,0])#prec[:, jj] = f(mil_prob[:, jj])prec[:, jj] = mil_prob[:, jj]mil_prec = precthe code seems only copy values in mil_prob to mil_prec ? the value shown in the example, what does that mean ? why need the coco_valid1_eval.pkl ? what does the content of coco_valid1_eval.pkl mean ?
i am confused, can someone help ?