| /external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
| tfexample_decoder_test.py | 131 decoded_image = tf_image.eval()
134 return decoded_image.astype(np.float32)
141 decoded_image = self.RunDecodeExample(
145 self.assertAllClose(image, decoded_image, atol=1.001)
154 decoded_image = self.RunDecodeExample(
160 self.assertAllClose(image, decoded_image, atol=1.001)
183 decoded_image = self.RunDecodeExample(
188 self.assertAllClose(image, decoded_image, atol=0)
197 decoded_image = self.RunDecodeExample(
202 self.assertAllClose(image, decoded_image, atol=0
[all...] |
| /external/libvncserver/libvncclient/ |
| h264.c | 484 VAImage decoded_image; local
485 decoded_image.image_id = VA_INVALID_ID;
486 decoded_image.buf = VA_INVALID_ID;
487 va_status = vaDeriveImage(va_dpy, curr_surface, &decoded_image);
490 if ((decoded_image.image_id == VA_INVALID_ID) || (decoded_image.buf == VA_INVALID_ID)) {
491 rfbClientErr("%s: vaDeriveImage() returned success but VA image is invalid (id: %d, buf: %d)\n", __FUNCTION__, decoded_image.image_id, decoded_image.buf);
494 nv12_to_rgba(decoded_image, client, x, y, width, height);
496 va_status = vaDestroyImage(va_dpy, decoded_image.image_id)
[all...] |
| /external/webrtc/webrtc/modules/video_coding/codecs/vp8/ |
| simulcast_unittest.h | 122 int32_t Decoded(VideoFrame& decoded_image) override {
123 for (int i = 0; i < decoded_image.width(); ++i) {
124 EXPECT_NEAR(kColorY, decoded_image.buffer(kYPlane)[i], 1);
128 for (int i = 0; i < ((decoded_image.width() + 1) / 2); ++i) {
129 EXPECT_NEAR(kColorU, decoded_image.buffer(kUPlane)[i], 4);
130 EXPECT_NEAR(kColorV, decoded_image.buffer(kVPlane)[i], 4);
135 int32_t Decoded(VideoFrame& decoded_image, int64_t decode_time_ms) override {
[all...] |
| vp8_impl.cc | [all...] |
| /external/webrtc/webrtc/modules/video_coding/codecs/vp9/ |
| vp9_impl.cc | 954 VideoFrame decoded_image; local
[all...] |
| /external/tensorflow/tensorflow/examples/image_retraining/ |
| retrain.py | 700 decoded_image = tf.image.decode_jpeg(jpeg_data, channels=input_depth)
701 decoded_image_as_float = tf.cast(decoded_image, dtype=tf.float32)
[all...] |
