leezu commented on a change in pull request #17841: URL: https://github.com/apache/incubator-mxnet/pull/17841#discussion_r416906977
########## File path: tests/python/unittest/test_numpy_contrib_gluon_data_vision.py ########## @@ -0,0 +1,146 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +import mxnet as mx +import numpy as np +import scipy.ndimage +from mxnet.test_utils import * +from common import assertRaises, with_seed +import shutil +import tempfile +import unittest + +def _get_data(url, dirname): + import os, tarfile + download(url, dirname=dirname, overwrite=False) + fname = os.path.join(dirname, url.split('/')[-1]) + tar = tarfile.open(fname) + source_images = [os.path.join(dirname, x.name) for x in tar.getmembers() if x.isfile()] + if len(source_images) < 1 or not os.path.isfile(source_images[0]): + # skip extracting if exists + tar.extractall(path=dirname) + tar.close() + return source_images + +def _generate_objects(): + num = np.random.randint(1, 10) + xy = np.random.rand(num, 2) + wh = np.random.rand(num, 2) / 2 + left = (xy[:, 0] - wh[:, 0])[:, np.newaxis] + right = (xy[:, 0] + wh[:, 0])[:, np.newaxis] + top = (xy[:, 1] - wh[:, 1])[:, np.newaxis] + bot = (xy[:, 1] + wh[:, 1])[:, np.newaxis] + boxes = np.maximum(0., np.minimum(1., np.hstack((left, top, right, bot)))) + cid = np.random.randint(0, 20, size=num) + label = np.hstack((cid[:, np.newaxis], boxes)).ravel().tolist() + return [2, 5] + label + + +class TestImage(unittest.TestCase): + IMAGES_URL = "http://data.mxnet.io/data/test_images.tar.gz"; + + def setUp(self): + self.IMAGES_DIR = tempfile.mkdtemp() + self.IMAGES = _get_data(self.IMAGES_URL, self.IMAGES_DIR) + print("Loaded {} images".format(len(self.IMAGES))) + + def tearDown(self): + if self.IMAGES_DIR: + print("cleanup {}".format(self.IMAGES_DIR)) + shutil.rmtree(self.IMAGES_DIR) + + @use_np + def test_imageiter(self): + im_list = [[np.random.randint(0, 5), x] for x in self.IMAGES] + fname = './data/test_imageiter.lst' + file_list = ['\t'.join([str(k), str(np.random.randint(0, 5)), x]) + for k, x in enumerate(self.IMAGES)] + with open(fname, 'w') as f: + for line in file_list: + f.write(line + '\n') + + test_list = ['imglist', 'path_imglist'] + for dtype in ['int32', 'float32', 'int64', 'float64']: + for test in test_list: + imglist = im_list if test == 'imglist' else None + path_imglist = fname if test == 'path_imglist' else None + imageiter_list = [ + mx.gluon.contrib.data.vision.ImageDataLoader(2, (3, 224, 224), imglist=imglist, + path_imglist=path_imglist, path_root='', dtype=dtype), + mx.gluon.contrib.data.vision.ImageDataLoader(3, (3, 224, 224), imglist=imglist, + path_imglist=path_imglist, path_root='', dtype=dtype, last_batch='discard'), + mx.gluon.contrib.data.vision.ImageDataLoader(3, (3, 224, 224), imglist=imglist, + path_imglist=path_imglist, path_root='', dtype=dtype, last_batch='keep'), + mx.gluon.contrib.data.vision.ImageDataLoader(3, (3, 224, 224), imglist=imglist, + path_imglist=path_imglist, path_root='', dtype=dtype, last_batch='rollover'), + mx.gluon.contrib.data.vision.ImageDataLoader(3, (3, 224, 224), imglist=imglist, shuffle=True, + path_imglist=path_imglist, path_root='', dtype=dtype, last_batch='keep', + rand_crop=1, rand_gray=0.1, rand_mirror=True) + ] + for it in imageiter_list: + for batch in it: + pass + + @use_np + def test_image_bbox_iter(self): + im_list = [_generate_objects() + [x] for x in self.IMAGES] + det_iter = mx.gluon.contrib.data.vision.ImageBboxDataLoader(2, (3, 300, 300), imglist=im_list, path_root='') + for _ in range(3): + for _ in det_iter: + pass + val_iter = mx.gluon.contrib.data.vision.ImageBboxDataLoader(2, (3, 300, 300), imglist=im_list, path_root='') + + # test batch_size is not divisible by number of images + det_iter = mx.gluon.contrib.data.vision.ImageBboxDataLoader(4, (3, 300, 300), imglist=im_list, path_root='') + for _ in det_iter: + pass + + # test file list with last batch handle + fname = './data/test_imagedetiter.lst' + im_list = [[k] + _generate_objects() + [x] for k, x in enumerate(self.IMAGES)] + with open(fname, 'w') as f: + for line in im_list: + line = '\t'.join([str(k) for k in line]) + f.write(line + '\n') + + imageiter_list = [ + mx.gluon.contrib.data.vision.ImageBboxDataLoader(2, (3, 400, 400), + path_imglist=fname, path_root=''), + mx.gluon.contrib.data.vision.ImageBboxDataLoader(3, (3, 400, 400), + path_imglist=fname, path_root='', last_batch='discard'), + mx.gluon.contrib.data.vision.ImageBboxDataLoader(3, (3, 400, 400), + path_imglist=fname, path_root='', last_batch='keep'), + mx.gluon.contrib.data.vision.ImageBboxDataLoader(3, (3, 400, 400), + path_imglist=fname, path_root='', last_batch='rollover'), + mx.gluon.contrib.data.vision.ImageBboxDataLoader(3, (3, 400, 400), shuffle=True, + path_imglist=fname, path_root='', last_batch='keep') + ] + + @use_np + def test_bbox_augmenters(self): + # only test if all augmenters will work + # TODO(Joshua Zhang): verify the augmenter outputs Review comment: Let's remove the in-line to do then? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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