def test_image_false_when_no_file(self):
path = '%s.jpg' % current_function_name()
target = ImageTarget()
status = target.test(path)
self.assertFalse(status)
def test_image_true_when_true(self):
with TestDir() as test_dir:
path = osp.join(test_dir, 'test.jpg')
save_image(path, np.ones([10, 7, 3]))
target = ImageTarget()
status = target.test(path)
self.assertTrue(status)
def test_image_true_when_true(self):
with TestDir() as test_dir:
path = osp.join(test_dir.path, 'test.jpg')
image = np.random.random_sample([10, 10, 3])
cv2.imwrite(path, image)
target = ImageTarget()
status = target.test(path)
self.assertTrue(status)
def test_image_false_when_false(self):
with TestDir() as test_dir:
path = osp.join(test_dir.path, 'test.jpg')
with open(path, 'w+') as f:
f.write('qwerty123')
target = ImageTarget()
status = target.test(path)
self.assertFalse(status)
def main(args=None):
parser = build_parser()
args = parser.parse_args(args)
project_path = args.project_dir
if is_project_path(project_path):
project = Project.load(project_path)
else:
project = None
try:
args.target = target_selector(
ProjectTarget(is_default=True, project=project),
SourceTarget(project=project),
ExternalDatasetTarget(),
ImageTarget()
)(args.target)
if args.target[0] == TargetKinds.project:
if is_project_path(args.target[1]):
args.project_dir = osp.dirname(osp.abspath(args.target[1]))
except argparse.ArgumentTypeError as e:
print(e)
parser.print_help()
return 1
return process_command(args.target, args.params, args)
def explain_command(args):
project_path = args.project_dir
if is_project_path(project_path):
project = Project.load(project_path)
else:
project = None
args.target = target_selector(
ProjectTarget(is_default=True, project=project),
SourceTarget(project=project), ImageTarget())(args.target)
if args.target[0] == TargetKinds.project:
if is_project_path(args.target[1]):
args.project_dir = osp.dirname(osp.abspath(args.target[1]))
import cv2
from matplotlib import cm
project = load_project(args.project_dir)
model = project.make_executable_model(args.model)
if str(args.algorithm).lower() != 'rise':
raise NotImplementedError()
from datumaro.components.algorithms.rise import RISE
rise = RISE(model,
max_samples=args.max_samples,
mask_width=args.mask_width,
mask_height=args.mask_height,
prob=args.prob,
iou_thresh=args.iou_thresh,
nms_thresh=args.nms_iou_thresh,
det_conf_thresh=args.det_conf_thresh,
batch_size=args.batch_size)
if args.target[0] == TargetKinds.image:
image_path = args.target[1]
image = load_image(image_path)
log.info("Running inference explanation for '%s'" % image_path)
heatmap_iter = rise.apply(image, progressive=args.display)
image = image / 255.0
file_name = osp.splitext(osp.basename(image_path))[0]
if args.display:
for i, heatmaps in enumerate(heatmap_iter):
for j, heatmap in enumerate(heatmaps):
hm_painted = cm.jet(heatmap)[:, :, 2::-1]
disp = (image + hm_painted) / 2
cv2.imshow('heatmap-%s' % j, hm_painted)
cv2.imshow(file_name + '-heatmap-%s' % j, disp)
cv2.waitKey(10)
print("Iter", i, "of", args.max_samples, end='\r')
else:
heatmaps = next(heatmap_iter)
if args.save_dir is not None:
log.info("Saving inference heatmaps at '%s'" % args.save_dir)
os.makedirs(args.save_dir, exist_ok=True)
for j, heatmap in enumerate(heatmaps):
save_path = osp.join(args.save_dir,
file_name + '-heatmap-%s.png' % j)
save_image(save_path, heatmap * 255.0)
else:
for j, heatmap in enumerate(heatmaps):
disp = (image + cm.jet(heatmap)[:, :, 2::-1]) / 2
cv2.imshow(file_name + '-heatmap-%s' % j, disp)
cv2.waitKey(0)
elif args.target[0] == TargetKinds.source or \
args.target[0] == TargetKinds.project:
if args.target[0] == TargetKinds.source:
source_name = args.target[1]
dataset = project.make_source_project(source_name).make_dataset()
log.info("Running inference explanation for '%s'" % source_name)
else:
project_name = project.config.project_name
dataset = project.make_dataset()
log.info("Running inference explanation for '%s'" % project_name)
for item in dataset:
image = item.image.data
if image is None:
log.warn(
"Dataset item %s does not have image data. Skipping." % \
(item.id))
continue
heatmap_iter = rise.apply(image)
image = image / 255.0
heatmaps = next(heatmap_iter)
if args.save_dir is not None:
log.info("Saving inference heatmaps to '%s'" % args.save_dir)
os.makedirs(args.save_dir, exist_ok=True)
for j, heatmap in enumerate(heatmaps):
save_image(osp.join(args.save_dir,
item.id + '-heatmap-%s.png' % j),
heatmap * 255.0,
create_dir=True)
if not args.save_dir or args.display:
for j, heatmap in enumerate(heatmaps):
disp = (image + cm.jet(heatmap)[:, :, 2::-1]) / 2
cv2.imshow(item.id + '-heatmap-%s' % j, disp)
cv2.waitKey(0)
else:
raise NotImplementedError()
return 0
def test_image_false_when_no_file(self):
target = ImageTarget()
status = target.test('somepath.jpg')
self.assertFalse(status)