forked from OSSInnovation/mindspore
!14549 fix BUG to master
From: @shenwei41 Reviewed-by: @liucunwei,@pandoublefeng Signed-off-by: @liucunwei
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commit
25b8c0d6e3
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@ -1412,21 +1412,21 @@ void CalculationMatrix(int n, int m, std::vector<double> &W, LiteMat &A, LiteMat
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}
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for (int i = 0; i < n - 1; i++) {
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int j = i;
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for (int k = i + 1; k < n; k++) {
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if (W[j] < W[k]) {
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j = k;
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int mid = i;
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for (int j = i + 1; j < n; j++) {
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if (W[mid] < W[j]) {
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mid = j;
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}
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}
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if (i != j) {
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std::swap(W[i], W[j]);
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for (int k = 0; k < m; k++) {
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std::swap(A.ptr<T>(i)[k], A.ptr<T>(j)[k]);
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if (i != mid) {
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std::swap(W[i], W[mid]);
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for (int j = 0; j < m; j++) {
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std::swap(A.ptr<T>(i)[j], A.ptr<T>(mid)[j]);
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}
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for (int k = 0; k < n; k++) {
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std::swap(V.ptr<T>(i)[k], V.ptr<T>(j)[k]);
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for (int j = 0; j < n; j++) {
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std::swap(V.ptr<T>(i)[j], V.ptr<T>(mid)[j]);
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}
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}
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}
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@ -1451,8 +1451,8 @@ void JacobiSVD(LiteMat &A, LiteMat &_W, LiteMat &V) {
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std::uniform_int_distribution<unsigned int> dis(0, 4294967294);
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for (int i = 0; i < urows; i++) {
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double sd = i < n ? W[i] : 0;
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for (int ii = 0; ii < 100 && sd <= min_val; ii++) {
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double mid = i < n ? W[i] : 0;
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for (int ii = 0; ii < 100 && mid <= min_val; ii++) {
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const T val0 = (T)(1. / m);
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for (int k = 0; k < m; k++) {
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unsigned int rng = dis(gen);
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@ -1460,15 +1460,15 @@ void JacobiSVD(LiteMat &A, LiteMat &_W, LiteMat &V) {
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A.ptr<T>(i)[k] = val;
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}
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for (int iter = 0; iter < 2; iter++) {
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for (int inner = 0; inner < 2; inner++) {
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for (int j = 0; j < i; j++) {
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sd = 0;
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mid = 0;
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for (int k = 0; k < m; k++) {
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sd += A.ptr<T>(i)[k] * A.ptr<T>(j)[k];
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mid += A.ptr<T>(i)[k] * A.ptr<T>(j)[k];
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}
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T asum = 0;
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for (int k = 0; k < m; k++) {
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T t = (T)(A.ptr<T>(i)[k] - sd * A.ptr<T>(j)[k]);
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T t = (T)(A.ptr<T>(i)[k] - mid * A.ptr<T>(j)[k]);
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A.ptr<T>(i)[k] = t;
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asum += std::abs(t);
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}
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@ -1480,15 +1480,15 @@ void JacobiSVD(LiteMat &A, LiteMat &_W, LiteMat &V) {
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}
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}
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sd = 0;
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mid = 0;
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for (int k = 0; k < m; k++) {
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T t = A.ptr<T>(i)[k];
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sd += static_cast<double>(t * t);
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mid += static_cast<double>(t * t);
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}
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sd = std::sqrt(sd);
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mid = std::sqrt(mid);
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}
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T s = (T)(sd > min_val ? 1 / sd : 0.);
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T s = (T)(mid > min_val ? 1 / mid : 0.);
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for (int k = 0; k < m; k++) {
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A.ptr<T>(i)[k] *= s;
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}
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@ -33,6 +33,7 @@ from .validators import check_prob, check_crop, check_resize_interpolation, chec
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check_random_perspective, check_random_erasing, check_cutout, check_linear_transform, check_random_affine, \
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check_mix_up, check_positive_degrees, check_uniform_augment_py, check_auto_contrast
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from .utils import Inter, Border
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from .py_transforms_util import is_pil
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DE_PY_INTER_MODE = {Inter.NEAREST: Image.NEAREST,
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Inter.ANTIALIAS: Image.ANTIALIAS,
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@ -964,6 +965,8 @@ class RandomPerspective:
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Returns:
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img (PIL image), Image after being perspectively transformed randomly.
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"""
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if not is_pil(img):
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raise ValueError("Input image should be a Pillow image.")
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if self.prob > random.random():
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start_points, end_points = util.get_perspective_params(img, self.distortion_scale)
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return util.perspective(img, start_points, end_points, self.interpolation)
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@ -458,6 +458,8 @@ def check_random_perspective(method):
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def new_method(self, *args, **kwargs):
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[distortion_scale, prob, interpolation], _ = parse_user_args(method, *args, **kwargs)
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type_check(distortion_scale, (float,), "distortion_scale")
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type_check(prob, (float,), "prob")
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check_value(distortion_scale, [0., 1.], "distortion_scale")
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check_value(prob, [0., 1.], "prob")
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type_check(interpolation, (Inter,), "interpolation")
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