| /third_party/mindspore/tests/st/model_zoo_tests/yolov3_darknet53/src/ |
| D | transforms.py | 278 def _choose_candidate_by_constraints(max_trial, input_w, input_h, image_w, image_h, jitter, box, us… argument
317 t_box[:, [0, 2]] = t_box[:, [0, 2]] * float(nw) / float(image_w) + dx
330 def _correct_bbox_by_candidates(candidates, input_w, input_h, image_w, argument
341 t_box[:, [0, 2]] = t_box[:, [0, 2]] * float(nw) / float(image_w) + dx
384 image_w, image_h = image.size
397 image_w=image_w,
404 image_w=image_w,
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| /third_party/mindspore/mindspore/lite/minddata/example/ |
| D | testlitecv.cpp | 62 constexpr int32_t image_w = 1; in main() local
64 LiteMat lite_mat_rgb(image.Shape()[image_w], image.Shape()[image_h], image.Shape()[image_c], in main()
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| /third_party/mindspore/tests/ut/python/pynative_mode/nn/ |
| D | test_cell.py | 89 image_w = 224 variable in ConvNet
100 int(ConvNet.image_h * ConvNet.image_w * ConvNet.output_ch / (4 * 4)),
306 np.random.randint(0, 255, [1, 3, net.image_h, net.image_w]).astype(np.float32))
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| /third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/base/ |
| D | prior_box.cc | 66 …const int image_w = prior_box_param_->image_size_w > 0 ? prior_box_param_->image_size_w : in_tenso… in GeneratePriorBox() local
72 … prior_box_param_->step_w > 0.0f ? prior_box_param_->step_w : static_cast<float>(image_w) / fmap_w; in GeneratePriorBox()
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| /third_party/mindspore/mindspore/dataset/vision/ |
| D | py_transforms_util.py | 973 image_c, image_h, image_w = np_img.shape
974 area = image_h * image_w
983 if erase_h < image_h and erase_w < image_w:
986 j = random.randint(0, image_w - erase_w)
991 x = random.randint(0, image_w)
993 x1 = clip(x - erase_w // 2, 0, image_w)
994 x2 = clip(x + erase_w // 2, 0, image_w)
1014 return 0, 0, image_h, image_w, np_img
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| D | py_transforms.py | 1133 _, image_h, image_w = np_img.shape
1134 scale = (self.length * self.length) / (image_h * image_w)
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| /third_party/mindspore/tests/ut/python/nn/ |
| D | test_cell.py | 82 image_w = 224 variable in ConvNet
93 int(ConvNet.image_h * ConvNet.image_w * ConvNet.output_ch / (4 * 4)),
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| /third_party/mindspore/mindspore/ccsrc/minddata/dataset/kernels/image/ |
| D | image_utils.cc | 1240 int32_t image_w = input_cv->shape()[1]; in Erase() local
1242 if (box_height > image_h || box_width > image_w) { in Erase()
1246 ", image width: " + std::to_string(image_w)); in Erase()
1252 std::uniform_int_distribution<int> width_distribution_bound(0, image_w - box_width); in Erase()
1254 std::uniform_int_distribution<int> width_distribution_unbound(0, image_w + box_width); in Erase()
1265 int32_t max_width = (w_start + box_width > image_w) ? image_w : w_start + box_width; in Erase()
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| /third_party/mesa3d/src/broadcom/vulkan/ |
| D | v3dv_meta_copy.c | 3633 uint32_t image_w, uint32_t image_h, in compute_blit_box() argument
3639 *x = MIN2(offsets[0].x, image_w - 1); in compute_blit_box()
3640 *w = MIN2(offsets[1].x - offsets[0].x, image_w - offsets[0].x); in compute_blit_box()
3643 *x = MIN2(offsets[1].x, image_w - 1); in compute_blit_box()
3644 *w = MIN2(offsets[0].x - offsets[1].x, image_w - offsets[1].x); in compute_blit_box()
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