cassdlcm/mediapipe
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fixes multiple typos in the calculator's internal files.

Browse Source 
PiperOrigin-RevId: 579718764
This commit is contained in:
MediaPipe Team 2023-11-05 20:45:18 -08:00 committed by Copybara-Service
parent e22b7d5dd4
commit 0b53c9752f
8 changed files with 12 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
mediapipe/calculators/tensor/audio_to_tensor_calculator.cc
View File

@ -109,7 +109,7 @@ bool IsValidFftSize(int size) {
// Non-streaming mode: when "stream_mode" is set to false in the calculator // Non-streaming mode: when "stream_mode" is set to false in the calculator
// options, the calculators treats the packets in the input audio stream as // options, the calculators treats the packets in the input audio stream as
// a batch of unrelated audio buffers. In each Process() call, the input // a batch of unrelated audio buffers. In each Process() call, the input
// buffer will be frist resampled, and framed as fixed-sized, possibly // buffer will be first resampled, and framed as fixed-sized, possibly
// overlapping tensors. The last tensor produced by a Process() invocation // overlapping tensors. The last tensor produced by a Process() invocation
// will be zero-padding if the remaining samples are insufficient. As the // will be zero-padding if the remaining samples are insufficient. As the
// calculator treats the input packets as unrelated, all samples will be // calculator treats the input packets as unrelated, all samples will be
@ -159,7 +159,7 @@ class AudioToTensorCalculator : public Node {
public: public:
static constexpr Input<Matrix> kAudioIn{"AUDIO"}; static constexpr Input<Matrix> kAudioIn{"AUDIO"};
// TODO: Removes this optional input stream when the "AUDIO" stream // TODO: Removes this optional input stream when the "AUDIO" stream
// uses the new mediapipe audio data containers that carry audio metatdata, // uses the new mediapipe audio data containers that carry audio metadata,
// such as sample rate. // such as sample rate.
static constexpr Input<double>::Optional kAudioSampleRateIn{"SAMPLE_RATE"}; static constexpr Input<double>::Optional kAudioSampleRateIn{"SAMPLE_RATE"};
static constexpr Output<std::vector<Tensor>> kTensorsOut{"TENSORS"}; static constexpr Output<std::vector<Tensor>> kTensorsOut{"TENSORS"};

2
mediapipe/calculators/tensor/audio_to_tensor_calculator.proto
View File

@ -37,7 +37,7 @@ message AudioToTensorCalculatorOptions {
// will be converted into tensors. // will be converted into tensors.
optional double target_sample_rate = 4; optional double target_sample_rate = 4;
// Whether to treat the input audio stream as a continous stream or a batch // Whether to treat the input audio stream as a continuous stream or a batch
// of unrelated audio buffers. // of unrelated audio buffers.
optional bool stream_mode = 5 [default = true]; optional bool stream_mode = 5 [default = true];

2
mediapipe/calculators/tensor/image_to_tensor_calculator_test.cc
View File

@ -206,7 +206,7 @@ mediapipe::ImageFormat::Format GetImageFormat(int image_channels) {
} else if (image_channels == 1) { } else if (image_channels == 1) {
return ImageFormat::GRAY8; return ImageFormat::GRAY8;
} }
ABSL_CHECK(false) << "Unsupported input image channles: " << image_channels; ABSL_CHECK(false) << "Unsupported input image channels: " << image_channels;
} }
Packet MakeImageFramePacket(cv::Mat input) { Packet MakeImageFramePacket(cv::Mat input) {

2
mediapipe/calculators/tensor/tensors_to_landmarks_calculator.cc
View File

@ -124,7 +124,7 @@ absl::Status TensorsToLandmarksCalculator::Open(CalculatorContext* cc) {
kFlipVertically(cc).IsConnected())) { kFlipVertically(cc).IsConnected())) {
RET_CHECK(options_.has_input_image_height() && RET_CHECK(options_.has_input_image_height() &&
options_.has_input_image_width()) options_.has_input_image_width())
<< "Must provide input width/height for using flipping when outputing " << "Must provide input width/height for using flipping when outputting "
"landmarks in absolute coordinates."; "landmarks in absolute coordinates.";
} }
return absl::OkStatus(); return absl::OkStatus();

2
mediapipe/calculators/tensorflow/pack_media_sequence_calculator.cc
View File

@ -79,7 +79,7 @@ namespace mpms = mediapipe::mediasequence;
// and label and label_id are optional but at least one of them should be set. // and label and label_id are optional but at least one of them should be set.
// "IMAGE_${NAME}", "BBOX_${NAME}", and "KEYPOINTS_${NAME}" will also store // "IMAGE_${NAME}", "BBOX_${NAME}", and "KEYPOINTS_${NAME}" will also store
// prefixed versions of each stream, which allows for multiple image streams to // prefixed versions of each stream, which allows for multiple image streams to
// be included. However, the default names are suppored by more tools. // be included. However, the default names are supported by more tools.
// //
// Example config: // Example config:
// node { // node {

4
mediapipe/calculators/tensorflow/tensor_to_matrix_calculator.cc
View File

@ -67,8 +67,8 @@ absl::Status FillTimeSeriesHeaderIfValid(const Packet& header_packet,
// -- 1-D or 2-D Tensor // -- 1-D or 2-D Tensor
// Output: // Output:
// -- Matrix with the same values as the Tensor // -- Matrix with the same values as the Tensor
// If input tensor is 1 dimensional, the ouput Matrix is of (1xn) shape. // If input tensor is 1 dimensional, the output Matrix is of (1xn) shape.
// If input tensor is 2 dimensional (batched), the ouput Matrix is (mxn) shape. // If input tensor is 2 dimensional (batched), the output Matrix is (mxn) shape.
// //
// Example Config // Example Config
// node: { // node: {

6
mediapipe/calculators/tensorflow/tensorflow_inference_calculator.cc
View File

@ -111,8 +111,8 @@ class InferenceState {
// input_side_packet. // input_side_packet.
// //
// The input and output streams are TensorFlow tensors labeled by tags. The tags // The input and output streams are TensorFlow tensors labeled by tags. The tags
// for the streams are matched to feeds and fetchs in a TensorFlow session using // for the streams are matched to feeds and fetches in a TensorFlow session
// a named_signature.generic_signature in the ModelManifest. The // using a named_signature.generic_signature in the ModelManifest. The
// generic_signature is used as key-value pairs between the MediaPipe tag and // generic_signature is used as key-value pairs between the MediaPipe tag and
// the TensorFlow tensor. The signature_name in the options proto determines // the TensorFlow tensor. The signature_name in the options proto determines
// which named_signature is used. The keys in the generic_signature must be // which named_signature is used. The keys in the generic_signature must be
@ -128,7 +128,7 @@ class InferenceState {
// addition. Once batch_size inputs have been provided, the batch will be run // addition. Once batch_size inputs have been provided, the batch will be run
// and the output tensors sent out on the output streams with timestamps // and the output tensors sent out on the output streams with timestamps
// corresponding to the input stream packets. Setting the batch_size to 1 // corresponding to the input stream packets. Setting the batch_size to 1
// completely disables batching, but is indepdent of add_batch_dim_to_tensors. // completely disables batching, but is independent of add_batch_dim_to_tensors.
// //
// The TensorFlowInferenceCalculator also support feeding states recurrently for // The TensorFlowInferenceCalculator also support feeding states recurrently for
// RNNs and LSTMs. Simply set the recurrent_tag_pair options to define the // RNNs and LSTMs. Simply set the recurrent_tag_pair options to define the

2
mediapipe/calculators/tensorflow/tensorflow_inference_calculator.proto
View File

@ -42,7 +42,7 @@ message TensorFlowInferenceCalculatorOptions {
// If the 0th dimension is the batch dimension, then the tensors are // If the 0th dimension is the batch dimension, then the tensors are
// concatenated on that dimension. If the 0th is a data dimension, then a 0th // concatenated on that dimension. If the 0th is a data dimension, then a 0th
// dimension is added before concatenating. If added, the extra dimension is // dimension is added before concatenating. If added, the extra dimension is
// removed before outputing the tensor. Examples of each case: If you want // removed before outputting the tensor. Examples of each case: If you want
// to batch spectra of audio over time for an LSTM, a time-frequency // to batch spectra of audio over time for an LSTM, a time-frequency
// representation has a 0th dimension as the batch dimension. If you want to // representation has a 0th dimension as the batch dimension. If you want to
// batch frames of video that are [width, height, channels], the batch // batch frames of video that are [width, height, channels], the batch