Spaces:
Paused
Paused
update
Browse files
app.py
CHANGED
@@ -7,7 +7,6 @@ def image_app():
|
|
7 |
with gr.Row():
|
8 |
with gr.Column():
|
9 |
seg_automask_image_file = gr.Image(type="filepath").style(height=260)
|
10 |
-
|
11 |
with gr.Row():
|
12 |
with gr.Column():
|
13 |
seg_automask_image_model_type = gr.Dropdown(
|
@@ -20,26 +19,27 @@ def image_app():
|
|
20 |
label="Model Type",
|
21 |
)
|
22 |
|
23 |
-
seg_automask_image_points_per_side = gr.Slider(
|
24 |
-
minimum=0,
|
25 |
-
maximum=32,
|
26 |
-
step=2,
|
27 |
-
value=16,
|
28 |
-
label="Points per Side",
|
29 |
-
)
|
30 |
-
|
31 |
-
seg_automask_image_points_per_batch = gr.Slider(
|
32 |
-
minimum=0,
|
33 |
-
maximum=64,
|
34 |
-
step=2,
|
35 |
-
value=64,
|
36 |
-
label="Points per Batch",
|
37 |
-
)
|
38 |
-
|
39 |
seg_automask_image_min_area = gr.Number(
|
40 |
value=0,
|
41 |
label="Min Area",
|
42 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
43 |
|
44 |
seg_automask_image_predict = gr.Button(value="Generator")
|
45 |
|
@@ -64,7 +64,6 @@ def video_app():
|
|
64 |
with gr.Row():
|
65 |
with gr.Column():
|
66 |
seg_automask_video_file = gr.Video().style(height=260)
|
67 |
-
|
68 |
with gr.Row():
|
69 |
with gr.Column():
|
70 |
seg_automask_video_model_type = gr.Dropdown(
|
@@ -76,27 +75,28 @@ def video_app():
|
|
76 |
value="vit_l",
|
77 |
label="Model Type",
|
78 |
)
|
79 |
-
|
80 |
-
|
81 |
-
|
82 |
-
maximum=32,
|
83 |
-
step=2,
|
84 |
-
value=16,
|
85 |
-
label="Points per Side",
|
86 |
-
)
|
87 |
-
seg_automask_video_points_per_batch = gr.Slider(
|
88 |
-
minimum=0,
|
89 |
-
maximum=64,
|
90 |
-
step=2,
|
91 |
-
value=64,
|
92 |
-
label="Points per Batch",
|
93 |
)
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
99 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
100 |
|
101 |
seg_automask_video_predict = gr.Button(value="Generator")
|
102 |
with gr.Column():
|
@@ -120,16 +120,25 @@ def sahi_app():
|
|
120 |
with gr.Row():
|
121 |
with gr.Column():
|
122 |
sahi_image_file = gr.Image(type="filepath").style(height=260)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
123 |
with gr.Row():
|
124 |
with gr.Column():
|
125 |
-
|
126 |
choices=[
|
127 |
-
"
|
128 |
-
"
|
129 |
-
"vit_b",
|
130 |
],
|
131 |
-
value="
|
132 |
-
label="
|
133 |
)
|
134 |
sahi_image_size = gr.Slider(
|
135 |
minimum=0,
|
@@ -152,25 +161,9 @@ def sahi_app():
|
|
152 |
value=256,
|
153 |
label="Slice Width",
|
154 |
)
|
155 |
-
|
156 |
-
sahi_overlap_height = gr.Slider(
|
157 |
-
minimum=0,
|
158 |
-
maximum=1,
|
159 |
-
step=0.1,
|
160 |
-
value=0.2,
|
161 |
-
label="Overlap Height",
|
162 |
-
)
|
163 |
with gr.Row():
|
164 |
-
with gr.Column():
|
165 |
-
sahi_model_type = gr.Dropdown(
|
166 |
-
choices=[
|
167 |
-
"yolov5",
|
168 |
-
"yolov8",
|
169 |
-
],
|
170 |
-
value="yolov5",
|
171 |
-
label="Detector Model Type",
|
172 |
-
)
|
173 |
-
|
174 |
sahi_model_path = gr.Dropdown(
|
175 |
choices=[
|
176 |
"yolov5l.pt",
|
@@ -178,16 +171,10 @@ def sahi_app():
|
|
178 |
"yolov8l.pt",
|
179 |
"yolov8x.pt"
|
180 |
],
|
181 |
-
value="
|
182 |
label="Detector Model Path",
|
183 |
)
|
184 |
-
|
185 |
-
minimum=0,
|
186 |
-
maximum=640,
|
187 |
-
step=32,
|
188 |
-
value=256,
|
189 |
-
label="Slice Height",
|
190 |
-
)
|
191 |
|
192 |
sahi_overlap_width = gr.Slider(
|
193 |
minimum=0,
|
@@ -196,8 +183,21 @@ def sahi_app():
|
|
196 |
value=0.2,
|
197 |
label="Overlap Width",
|
198 |
)
|
199 |
-
|
200 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
201 |
sahi_image_predict = gr.Button(value="Generator")
|
202 |
|
203 |
with gr.Column():
|
|
|
7 |
with gr.Row():
|
8 |
with gr.Column():
|
9 |
seg_automask_image_file = gr.Image(type="filepath").style(height=260)
|
|
|
10 |
with gr.Row():
|
11 |
with gr.Column():
|
12 |
seg_automask_image_model_type = gr.Dropdown(
|
|
|
19 |
label="Model Type",
|
20 |
)
|
21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
22 |
seg_automask_image_min_area = gr.Number(
|
23 |
value=0,
|
24 |
label="Min Area",
|
25 |
)
|
26 |
+
with gr.Row():
|
27 |
+
with gr.Column():
|
28 |
+
seg_automask_image_points_per_batch = gr.Slider(
|
29 |
+
minimum=0,
|
30 |
+
maximum=64,
|
31 |
+
step=2,
|
32 |
+
value=64,
|
33 |
+
label="Points per Batch",
|
34 |
+
)
|
35 |
+
seg_automask_image_points_per_side = gr.Slider(
|
36 |
+
minimum=0,
|
37 |
+
maximum=32,
|
38 |
+
step=2,
|
39 |
+
value=16,
|
40 |
+
label="Points per Side",
|
41 |
+
)
|
42 |
+
|
43 |
|
44 |
seg_automask_image_predict = gr.Button(value="Generator")
|
45 |
|
|
|
64 |
with gr.Row():
|
65 |
with gr.Column():
|
66 |
seg_automask_video_file = gr.Video().style(height=260)
|
|
|
67 |
with gr.Row():
|
68 |
with gr.Column():
|
69 |
seg_automask_video_model_type = gr.Dropdown(
|
|
|
75 |
value="vit_l",
|
76 |
label="Model Type",
|
77 |
)
|
78 |
+
seg_automask_video_min_area = gr.Number(
|
79 |
+
value=1000,
|
80 |
+
label="Min Area",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
81 |
)
|
82 |
+
|
83 |
+
with gr.Row():
|
84 |
+
with gr.Column():
|
85 |
+
seg_automask_video_points_per_side = gr.Slider(
|
86 |
+
minimum=0,
|
87 |
+
maximum=32,
|
88 |
+
step=2,
|
89 |
+
value=16,
|
90 |
+
label="Points per Side",
|
91 |
+
)
|
92 |
+
|
93 |
+
seg_automask_video_points_per_batch = gr.Slider(
|
94 |
+
minimum=0,
|
95 |
+
maximum=64,
|
96 |
+
step=2,
|
97 |
+
value=64,
|
98 |
+
label="Points per Batch",
|
99 |
+
)
|
100 |
|
101 |
seg_automask_video_predict = gr.Button(value="Generator")
|
102 |
with gr.Column():
|
|
|
120 |
with gr.Row():
|
121 |
with gr.Column():
|
122 |
sahi_image_file = gr.Image(type="filepath").style(height=260)
|
123 |
+
sahi_autoseg_model_type = gr.Dropdown(
|
124 |
+
choices=[
|
125 |
+
"vit_h",
|
126 |
+
"vit_l",
|
127 |
+
"vit_b",
|
128 |
+
],
|
129 |
+
value="vit_l",
|
130 |
+
label="Sam Model Type",
|
131 |
+
)
|
132 |
+
|
133 |
with gr.Row():
|
134 |
with gr.Column():
|
135 |
+
sahi_model_type = gr.Dropdown(
|
136 |
choices=[
|
137 |
+
"yolov5",
|
138 |
+
"yolov8",
|
|
|
139 |
],
|
140 |
+
value="yolov5",
|
141 |
+
label="Detector Model Type",
|
142 |
)
|
143 |
sahi_image_size = gr.Slider(
|
144 |
minimum=0,
|
|
|
161 |
value=256,
|
162 |
label="Slice Width",
|
163 |
)
|
164 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
165 |
with gr.Row():
|
166 |
+
with gr.Column():
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
167 |
sahi_model_path = gr.Dropdown(
|
168 |
choices=[
|
169 |
"yolov5l.pt",
|
|
|
171 |
"yolov8l.pt",
|
172 |
"yolov8x.pt"
|
173 |
],
|
174 |
+
value="yolov5l6.pt",
|
175 |
label="Detector Model Path",
|
176 |
)
|
177 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
178 |
|
179 |
sahi_overlap_width = gr.Slider(
|
180 |
minimum=0,
|
|
|
183 |
value=0.2,
|
184 |
label="Overlap Width",
|
185 |
)
|
186 |
+
|
187 |
+
sahi_overlap_height = gr.Slider(
|
188 |
+
minimum=0,
|
189 |
+
maximum=1,
|
190 |
+
step=0.1,
|
191 |
+
value=0.2,
|
192 |
+
label="Overlap Height",
|
193 |
+
)
|
194 |
+
sahi_slice_height = gr.Slider(
|
195 |
+
minimum=0,
|
196 |
+
maximum=640,
|
197 |
+
step=32,
|
198 |
+
value=256,
|
199 |
+
label="Slice Height",
|
200 |
+
)
|
201 |
sahi_image_predict = gr.Button(value="Generator")
|
202 |
|
203 |
with gr.Column():
|