Spaces:
Running
on
Zero
Running
on
Zero
update
Browse files
imcui/datasets/multi_modality_pairs/robot_real_world_2.png
ADDED
imcui/datasets/multi_modality_pairs/robot_render_1.png
ADDED
imcui/third_party/place_holder.txt
CHANGED
@@ -1 +0,0 @@
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1
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imcui/ui/app_class.py
CHANGED
@@ -19,7 +19,7 @@ from .utils import (
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send_to_match,
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)
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import os
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-
GITHUB_TOKEN = '
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GOOGLE_TOKEN = '1qnxd5DKomsYUH9_8dQ4Xvwatg_vI-vsh'
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if not (Path(__file__).parent / "../third_party/MatchAnything").exists():
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print("**********************************")
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send_to_match,
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)
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import os
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+
GITHUB_TOKEN = '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'
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GOOGLE_TOKEN = '1qnxd5DKomsYUH9_8dQ4Xvwatg_vI-vsh'
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if not (Path(__file__).parent / "../third_party/MatchAnything").exists():
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print("**********************************")
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imcui/ui/utils.py
CHANGED
@@ -234,7 +234,7 @@ def gen_examples():
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[str(images_dir / "MTV_thermal_vis_pair2_1.jpg"), str(images_dir / "MTV_thermal_vis_pair2_2.jpg")],
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]
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-
pairs_special = [[str(images_dir / "mri_ut_1.jpg"), str(images_dir / "mri_ut_2.jpg")], [str(images_dir / "01.png"), str(images_dir / "02.png")], [str(images_dir / 'thermal_1.
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match_setting_threshold = DEFAULT_SETTING_THRESHOLD
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match_setting_max_features = DEFAULT_SETTING_MAX_FEATURES
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@@ -247,7 +247,7 @@ def gen_examples():
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dist_examples = distribute_elements(pairs_homo, example_matchers)
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for pair, mt in zip(pairs_homo, dist_examples):
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if 'roma' in mt:
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-
match_setting_threshold = 0.
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else:
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match_setting_threshold = 0.01
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@@ -302,7 +302,7 @@ def gen_examples():
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input_lists.insert(6, [
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pairs_special[1][0],
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pairs_special[1][1],
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0.
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match_setting_max_features,
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detect_keypoints_threshold,
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"matchanything_roma",
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@@ -316,7 +316,7 @@ def gen_examples():
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input_lists.insert(0, [
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pairs_special[2][0],
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pairs_special[2][1],
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0.
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match_setting_max_features,
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detect_keypoints_threshold,
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"matchanything_roma",
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@@ -326,6 +326,19 @@ def gen_examples():
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ransac_max_iter,
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"Fundamental",
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])
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return input_lists
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[str(images_dir / "MTV_thermal_vis_pair2_1.jpg"), str(images_dir / "MTV_thermal_vis_pair2_2.jpg")],
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]
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+
pairs_special = [[str(images_dir / "mri_ut_1.jpg"), str(images_dir / "mri_ut_2.jpg")], [str(images_dir / "01.png"), str(images_dir / "02.png")], [str(images_dir / 'thermal_1.png'), str(images_dir / 'rgb_2.png')], [str(images_dir / 'robot_render_1.png'), str(images_dir / 'robot_real_world_2.png')]]
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match_setting_threshold = DEFAULT_SETTING_THRESHOLD
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match_setting_max_features = DEFAULT_SETTING_MAX_FEATURES
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dist_examples = distribute_elements(pairs_homo, example_matchers)
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for pair, mt in zip(pairs_homo, dist_examples):
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if 'roma' in mt:
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+
match_setting_threshold = 0.01
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else:
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match_setting_threshold = 0.01
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input_lists.insert(6, [
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pairs_special[1][0],
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pairs_special[1][1],
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+
0.01,
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match_setting_max_features,
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detect_keypoints_threshold,
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"matchanything_roma",
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input_lists.insert(0, [
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pairs_special[2][0],
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pairs_special[2][1],
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+
0.01,
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match_setting_max_features,
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detect_keypoints_threshold,
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"matchanything_roma",
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ransac_max_iter,
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"Fundamental",
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])
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input_lists.insert(1, [
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pairs_special[3][0],
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pairs_special[3][1],
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0.01,
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match_setting_max_features,
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detect_keypoints_threshold,
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"matchanything_roma",
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ransac_method,
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4,
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ransac_confidence,
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ransac_max_iter,
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"Homography",
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])
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return input_lists
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