(
input,
input_size=1024,
iou_threshold=0.7,
conf_threshold=0.25,
better_quality=False,
withContours=True,
use_retina=True,
mask_random_color=True,
)
| 116 | |
| 117 | |
| 118 | def segment_with_points( |
| 119 | input, |
| 120 | input_size=1024, |
| 121 | iou_threshold=0.7, |
| 122 | conf_threshold=0.25, |
| 123 | better_quality=False, |
| 124 | withContours=True, |
| 125 | use_retina=True, |
| 126 | mask_random_color=True, |
| 127 | ): |
| 128 | global global_points |
| 129 | global global_point_label |
| 130 | |
| 131 | input_size = int(input_size) # 确保 imgsz 是整数 |
| 132 | # Thanks for the suggestion by hysts in HuggingFace. |
| 133 | w, h = input.size |
| 134 | scale = input_size / max(w, h) |
| 135 | new_w = int(w * scale) |
| 136 | new_h = int(h * scale) |
| 137 | input = input.resize((new_w, new_h)) |
| 138 | |
| 139 | scaled_points = [[int(x * scale) for x in point] for point in global_points] |
| 140 | |
| 141 | results = model(input, |
| 142 | device=device, |
| 143 | retina_masks=True, |
| 144 | iou=iou_threshold, |
| 145 | conf=conf_threshold, |
| 146 | imgsz=input_size,) |
| 147 | |
| 148 | results = format_results(results[0], 0) |
| 149 | annotations, _ = point_prompt(results, scaled_points, global_point_label, new_h, new_w) |
| 150 | annotations = np.array([annotations]) |
| 151 | |
| 152 | fig = fast_process(annotations=annotations, |
| 153 | image=input, |
| 154 | device=device, |
| 155 | scale=(1024 // input_size), |
| 156 | better_quality=better_quality, |
| 157 | mask_random_color=mask_random_color, |
| 158 | bbox=None, |
| 159 | use_retina=use_retina, |
| 160 | withContours=withContours,) |
| 161 | |
| 162 | global_points = [] |
| 163 | global_point_label = [] |
| 164 | return fig, None |
| 165 | |
| 166 | |
| 167 | def get_points_with_draw(image, label, evt: gr.SelectData): |
nothing calls this directly
no test coverage detected