16120dfa28abb4ee21d6beb04bf235633e413bfa,tests/windows_aggregator_grid_v2_test.py,GridSamplesAggregatorTest,test_init_2d_mo_bidimcsv,#GridSamplesAggregatorTest#,506

Before Change

            sampler.set_num_threads(2)
            while more_batch:
                out = sess.run(sampler.pop_batch_op())
                min_val = np.sum((np.asarray(out["image"]).flatten()))
                stats_val = [np.min(out["image"]), np.max(out["image"]), np.sum(
                    out["image"])]
                stats_val = np.expand_dims(stats_val, 0)
                stats_val = np.concatenate([stats_val, stats_val], axis=0)
                more_batch = aggregator.decode_batch(
                    {"window_image":out["image"],

After Change

            sampler.set_num_threads(2)
            while more_batch:
                out = sess.run(sampler.pop_batch_op())
                out_flatten = np.reshape(np.asarray(out["image"]), [10, -1])
                min_val = np.sum(np.reshape(np.asarray(out["image"]),
                                             [10,-1]),1)
                stats_val = np.concatenate([np.min(out_flatten,1,
                                                   keepdims=True), np.max(
                    out_flatten, 1,keepdims=True), np.sum(
                    out_flatten,1,keepdims=True)],1)
                stats_val = np.expand_dims(stats_val, 1)
                stats_val = np.concatenate([stats_val, stats_val], axis=1)
                more_batch = aggregator.decode_batch(
                    {"window_image":out["image"],

Instances