Spaces:
Sleeping
Sleeping
Realcat
commited on
Commit
•
a44851c
1
Parent(s):
84efff1
add: resize image
Browse files- hloc/extract_features.py +32 -0
- hloc/match_dense.py +20 -2
- ui/app_class.py +56 -3
- ui/utils.py +15 -0
hloc/extract_features.py
CHANGED
@@ -73,6 +73,10 @@ confs = {
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"preprocessing": {
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"grayscale": True,
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"resize_max": 1600,
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},
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},
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"r2d2": {
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@@ -102,6 +106,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"d2net-ms": {
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@@ -114,6 +122,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"rord": {
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@@ -126,6 +138,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"rootsift": {
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@@ -201,6 +217,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"xfeat": {
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@@ -212,6 +232,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"alike": {
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@@ -228,6 +252,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"lanet": {
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@@ -240,6 +268,10 @@ confs = {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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},
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},
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"darkfeat": {
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"preprocessing": {
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"grayscale": True,
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"resize_max": 1600,
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+
"force_resize": True,
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+
"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"r2d2": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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+
"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"d2net-ms": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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"width": 640,
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"height": 480,
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+
"dfactor": 8,
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},
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},
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"rord": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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+
"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"rootsift": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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+
"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"xfeat": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"alike": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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+
"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"lanet": {
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"preprocessing": {
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"grayscale": False,
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"resize_max": 1600,
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+
"force_resize": True,
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"width": 640,
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+
"height": 480,
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+
"dfactor": 8,
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},
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},
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"darkfeat": {
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hloc/match_dense.py
CHANGED
@@ -91,7 +91,14 @@ confs = {
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"max_keypoints": 2000,
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"match_threshold": 0.2,
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},
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-
"preprocessing": {
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"max_error": 2, # max error for assigned keypoints (in px)
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"cell_size": 8, # size of quantization patch (max 1 kp/patch)
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},
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@@ -104,7 +111,14 @@ confs = {
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"max_keypoints": 2000,
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"match_threshold": 0.2,
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},
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-
"preprocessing": {
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"max_error": 4, # max error for assigned keypoints (in px)
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"cell_size": 4, # size of quantization patch (max 1 kp/patch)
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},
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@@ -251,6 +265,10 @@ confs = {
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"resize_max": 1024,
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"dfactor": 8,
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"force_resize": False,
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},
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},
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"sold2": {
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"max_keypoints": 2000,
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"match_threshold": 0.2,
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},
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+
"preprocessing": {
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+
"grayscale": True,
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"resize_max": 1024,
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"dfactor": 8,
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"width": 640,
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"height": 480,
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"force_resize": True,
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},
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"max_error": 2, # max error for assigned keypoints (in px)
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"cell_size": 8, # size of quantization patch (max 1 kp/patch)
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},
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"max_keypoints": 2000,
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"match_threshold": 0.2,
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},
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+
"preprocessing": {
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+
"grayscale": True,
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+
"resize_max": 1024,
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+
"dfactor": 8,
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"width": 640,
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+
"height": 480,
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+
"force_resize": True,
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},
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"max_error": 4, # max error for assigned keypoints (in px)
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"cell_size": 4, # size of quantization patch (max 1 kp/patch)
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},
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"resize_max": 1024,
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"dfactor": 8,
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"force_resize": False,
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+
"resize_max": 1024,
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"width": 640,
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"height": 480,
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"dfactor": 8,
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},
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},
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"sold2": {
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ui/app_class.py
CHANGED
@@ -109,6 +109,29 @@ class ImageMatchingApp:
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)
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with gr.Accordion("Advanced Setting", open=False):
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with gr.Accordion("Matching Setting", open=True):
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with gr.Row():
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match_setting_threshold = gr.Slider(
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@@ -195,7 +218,12 @@ class ImageMatchingApp:
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"setting_geometry"
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],
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)
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-
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# collect inputs
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state_cache = gr.State({})
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inputs = [
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@@ -211,7 +239,9 @@ class ImageMatchingApp:
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ransac_max_iter,
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choice_geometry_type,
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gr.State(self.matcher_zoo),
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-
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]
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# Add some examples
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@@ -295,7 +325,6 @@ class ImageMatchingApp:
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inputs=match_image_src,
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outputs=input_image1,
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)
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-
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# collect outputs
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outputs = [
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output_keypoints,
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@@ -336,6 +365,7 @@ class ImageMatchingApp:
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ransac_max_iter,
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choice_geometry_type,
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output_pred,
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]
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button_reset.click(
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fn=self.ui_reset_state,
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@@ -422,6 +452,27 @@ class ImageMatchingApp:
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"source": choice, # The list of image sources to be displayed
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}
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def ui_reset_state(
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self,
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*args: Any,
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@@ -446,6 +497,7 @@ class ImageMatchingApp:
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int,
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float,
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int,
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]:
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"""
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Reset the state of the UI.
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@@ -487,6 +539,7 @@ class ImageMatchingApp:
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self.cfg["defaults"]["ransac_max_iter"], # ransac_max_iter: int
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self.cfg["defaults"]["setting_geometry"], # geometry: str
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None, # predictions
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)
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def display_supported_algorithms(self, style="tab"):
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)
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with gr.Accordion("Advanced Setting", open=False):
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with gr.Accordion("Image Setting", open=True):
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with gr.Row():
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image_force_resize_cb = gr.Checkbox(
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label="Force Resize",
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value=False,
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interactive=True,
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)
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image_setting_height = gr.Slider(
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minimum=48,
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maximum=2048,
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step=16,
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label="Image Height",
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value=480,
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visible=False,
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)
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image_setting_width = gr.Slider(
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minimum=64,
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maximum=2048,
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step=16,
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label="Image Width",
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value=640,
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visible=False,
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)
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with gr.Accordion("Matching Setting", open=True):
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with gr.Row():
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match_setting_threshold = gr.Slider(
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"setting_geometry"
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],
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)
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+
# image resize
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image_force_resize_cb.select(
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fn=self._on_select_force_resize,
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inputs=image_force_resize_cb,
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outputs=[image_setting_width, image_setting_height],
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)
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# collect inputs
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state_cache = gr.State({})
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inputs = [
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ransac_max_iter,
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choice_geometry_type,
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gr.State(self.matcher_zoo),
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image_force_resize_cb,
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image_setting_width,
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+
image_setting_height,
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]
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# Add some examples
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inputs=match_image_src,
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outputs=input_image1,
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)
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# collect outputs
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outputs = [
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output_keypoints,
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ransac_max_iter,
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choice_geometry_type,
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output_pred,
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+
image_force_resize_cb,
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]
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button_reset.click(
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fn=self.ui_reset_state,
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"source": choice, # The list of image sources to be displayed
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}
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+
def _on_select_force_resize(self, visible: bool = False):
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+
image_height = gr.Slider(
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minimum=48,
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maximum=2048,
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step=16,
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label="Image Height",
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value=480,
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visible=visible,
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interactive=True,
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)
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image_width = gr.Slider(
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minimum=64,
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maximum=2048,
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step=16,
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+
label="Image Width",
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value=640,
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visible=visible,
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interactive=True,
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)
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return image_width, image_height
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+
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def ui_reset_state(
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self,
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*args: Any,
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int,
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float,
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int,
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+
bool,
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]:
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"""
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Reset the state of the UI.
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self.cfg["defaults"]["ransac_max_iter"], # ransac_max_iter: int
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self.cfg["defaults"]["setting_geometry"], # geometry: str
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None, # predictions
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+
False,
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)
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def display_supported_algorithms(self, style="tab"):
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ui/utils.py
CHANGED
@@ -829,6 +829,9 @@ def run_matching(
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ransac_max_iter: int = DEFAULT_RANSAC_MAX_ITER,
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choice_geometry_type: str = DEFAULT_SETTING_GEOMETRY,
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matcher_zoo: Dict[str, Any] = None,
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use_cached_model: bool = False,
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) -> Tuple[
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np.ndarray,
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@@ -902,6 +905,12 @@ def run_matching(
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t1 = time.time()
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if model["dense"]:
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pred = match_dense.match_images(
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matcher, image0, image1, match_conf["preprocessing"], device=DEVICE
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)
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@@ -925,6 +934,12 @@ def run_matching(
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else:
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extractor = get_feature_model(extract_conf)
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pred0 = extract_features.extract(
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extractor, image0, extract_conf["preprocessing"]
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)
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ransac_max_iter: int = DEFAULT_RANSAC_MAX_ITER,
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choice_geometry_type: str = DEFAULT_SETTING_GEOMETRY,
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matcher_zoo: Dict[str, Any] = None,
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+
force_resize: bool = False,
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+
image_width: int = 640,
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+
image_height: int = 480,
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use_cached_model: bool = False,
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) -> Tuple[
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np.ndarray,
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t1 = time.time()
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if model["dense"]:
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+
match_conf["preprocessing"]["force_resize"] = force_resize
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+
if force_resize:
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+
match_conf["preprocessing"]["height"] = image_height
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+
match_conf["preprocessing"]["width"] = image_width
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+
logger.info(f"Force resize to {image_width}x{image_height}")
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+
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pred = match_dense.match_images(
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matcher, image0, image1, match_conf["preprocessing"], device=DEVICE
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)
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else:
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extractor = get_feature_model(extract_conf)
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+
extract_conf["preprocessing"]["force_resize"] = force_resize
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+
if force_resize:
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+
extract_conf["preprocessing"]["height"] = image_height
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+
extract_conf["preprocessing"]["width"] = image_width
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+
logger.info(f"Force resize to {image_width}x{image_height}")
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+
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pred0 = extract_features.extract(
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extractor, image0, extract_conf["preprocessing"]
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)
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