Indexes -> Indices

benchmarks/decoders/benchmark_decoders.py

@@ -206,10 +206,10 @@ def get_frames_from_video(self, video_file, pts_list):
         metadata = json.loads(get_json_metadata(decoder))
         average_fps = metadata["averageFps"]
         best_video_stream = metadata["bestVideoStreamIndex"]
-        indexes_list = [int(pts * average_fps) for pts in pts_list]
+        indices_list = [int(pts * average_fps) for pts in pts_list]
         frames = []
         frames = get_frames_at_indices(
-            decoder, stream_index=best_video_stream, frame_indices=indexes_list
+            decoder, stream_index=best_video_stream, frame_indices=indices_list
         )
         return frames
 

src/torchcodec/decoders/_core/VideoDecoder.cpp

@@ -967,19 +967,19 @@ VideoDecoder::DecodedOutput VideoDecoder::getFrameAtIndex(
   return getNextDecodedOutputNoDemux();
 }
 
-VideoDecoder::BatchDecodedOutput VideoDecoder::getFramesAtIndexes(
+VideoDecoder::BatchDecodedOutput VideoDecoder::getFramesAtIndices(
     int streamIndex,
-    const std::vector<int64_t>& frameIndexes) {
+    const std::vector<int64_t>& frameIndices) {
   validateUserProvidedStreamIndex(streamIndex);
-  validateScannedAllStreams("getFramesAtIndexes");
+  validateScannedAllStreams("getFramesAtIndices");
 
   const auto& streamMetadata = containerMetadata_.streams[streamIndex];
   const auto& options = streams_[streamIndex].options;
-  BatchDecodedOutput output(frameIndexes.size(), options, streamMetadata);
+  BatchDecodedOutput output(frameIndices.size(), options, streamMetadata);
 
   int i = 0;
   const auto& stream = streams_[streamIndex];
-  for (int64_t frameIndex : frameIndexes) {
+  for (int64_t frameIndex : frameIndices) {
     if (frameIndex < 0 || frameIndex >= stream.allFrames.size()) {
       throw std::runtime_error(
           "Invalid frame index=" + std::to_string(frameIndex));

src/torchcodec/decoders/_core/VideoDecoder.h

@@ -233,11 +233,11 @@ class VideoDecoder {
         const VideoStreamDecoderOptions& options,
         const StreamMetadata& metadata);
   };
-  // Returns frames at the given indexes for a given stream as a single stacked
+  // Returns frames at the given indices for a given stream as a single stacked
   // Tensor.
-  BatchDecodedOutput getFramesAtIndexes(
+  BatchDecodedOutput getFramesAtIndices(
       int streamIndex,
-      const std::vector<int64_t>& frameIndexes);
+      const std::vector<int64_t>& frameIndices);
   // Returns frames within a given range for a given stream as a single stacked
   // Tensor. The range is defined by [start, stop). The values retrieved from
   // the range are:

src/torchcodec/decoders/_core/VideoDecoderOps.cpp

@@ -224,7 +224,7 @@ at::Tensor get_frames_at_indices(
   auto videoDecoder = unwrapTensorToGetDecoder(decoder);
   std::vector<int64_t> frameIndicesVec(
       frame_indices.begin(), frame_indices.end());
-  auto result = videoDecoder->getFramesAtIndexes(stream_index, frameIndicesVec);
+  auto result = videoDecoder->getFramesAtIndices(stream_index, frameIndicesVec);
   return result.frames;
 }
 

test/decoders/VideoDecoderTest.cpp

@@ -210,7 +210,7 @@ TEST_P(VideoDecoderTest, DecodesFramesInABatchInNCHW) {
       *ourDecoder->getContainerMetadata().bestVideoStreamIndex;
   ourDecoder->addVideoStreamDecoder(bestVideoStreamIndex);
   // Frame with index 180 corresponds to timestamp 6.006.
-  auto output = ourDecoder->getFramesAtIndexes(bestVideoStreamIndex, {0, 180});
+  auto output = ourDecoder->getFramesAtIndices(bestVideoStreamIndex, {0, 180});
   auto tensor = output.frames;
   EXPECT_EQ(tensor.sizes(), std::vector<long>({2, 3, 270, 480}));
 
@@ -234,7 +234,7 @@ TEST_P(VideoDecoderTest, DecodesFramesInABatchInNHWC) {
       bestVideoStreamIndex,
       VideoDecoder::VideoStreamDecoderOptions("dimension_order=NHWC"));
   // Frame with index 180 corresponds to timestamp 6.006.
-  auto output = ourDecoder->getFramesAtIndexes(bestVideoStreamIndex, {0, 180});
+  auto output = ourDecoder->getFramesAtIndices(bestVideoStreamIndex, {0, 180});
   auto tensor = output.frames;
   EXPECT_EQ(tensor.sizes(), std::vector<long>({2, 270, 480, 3}));