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Runtime error
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from time import time
import numpy as np
import torch
from isegm.inference import utils
from isegm.inference.clicker import Clicker
try:
get_ipython()
from tqdm import tqdm_notebook as tqdm
except NameError:
from tqdm import tqdm
def evaluate_dataset(dataset, predictor, **kwargs):
all_ious = []
start_time = time()
for index in tqdm(range(len(dataset)), leave=False):
sample = dataset.get_sample(index)
_, sample_ious, _ = evaluate_sample(
sample.image, sample.gt_mask, predictor, sample_id=index, **kwargs
)
all_ious.append(sample_ious)
end_time = time()
elapsed_time = end_time - start_time
return all_ious, elapsed_time
def evaluate_sample(
image,
gt_mask,
predictor,
max_iou_thr,
pred_thr=0.49,
min_clicks=1,
max_clicks=20,
sample_id=None,
callback=None,
):
clicker = Clicker(gt_mask=gt_mask)
pred_mask = np.zeros_like(gt_mask)
ious_list = []
with torch.no_grad():
predictor.set_input_image(image)
for click_indx in range(max_clicks):
clicker.make_next_click(pred_mask)
pred_probs = predictor.get_prediction(clicker)
pred_mask = pred_probs > pred_thr
if callback is not None:
callback(
image,
gt_mask,
pred_probs,
sample_id,
click_indx,
clicker.clicks_list,
)
iou = utils.get_iou(gt_mask, pred_mask)
ious_list.append(iou)
if iou >= max_iou_thr and click_indx + 1 >= min_clicks:
break
return clicker.clicks_list, np.array(ious_list, dtype=np.float32), pred_probs
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