Improve loop calculator documentation and add additional specializations
The documentation is confusing since it was unclear where e.g. BeginLoopWithIterableCalculator comes from. Also, input_to_loop_body wasn't connected to anything. loop_internal_ts is more confusing than helpful. This CL cleans up the docs. It also adds specializations for CPU image and GPU texture buffers to be used for the recompose effect. PiperOrigin-RevId: 532083714
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Copybara-Service
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12ba644393
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fc9538533c
@@ -192,17 +192,18 @@ cc_library(
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"//mediapipe/framework:calculator_context",
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"//mediapipe/framework:calculator_contract",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework:collection_item_id",
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"//mediapipe/framework:packet",
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"//mediapipe/framework/formats:detection_cc_proto",
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"//mediapipe/framework/formats:image_frame",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:matrix",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/framework/formats:tensor",
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"//mediapipe/framework/port:integral_types",
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"//mediapipe/framework/port:ret_check",
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"//mediapipe/framework/port:status",
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"//mediapipe/gpu:gpu_buffer",
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"@com_google_absl//absl/memory",
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"@com_google_absl//absl/status",
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],
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alwayslink = 1,
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)
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@@ -215,18 +216,20 @@ cc_library(
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"//mediapipe/framework:calculator_context",
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"//mediapipe/framework:calculator_contract",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework:collection_item_id",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:detection_cc_proto",
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"//mediapipe/framework/formats:image",
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"//mediapipe/framework/formats:image_frame",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:matrix",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/framework/formats:tensor",
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"//mediapipe/framework/port:integral_types",
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"//mediapipe/framework/port:ret_check",
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"//mediapipe/framework/port:status",
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"//mediapipe/gpu:gpu_buffer",
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"//mediapipe/util:render_data_cc_proto",
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"@com_google_absl//absl/memory",
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"@com_google_absl//absl/status",
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"@org_tensorflow//tensorflow/lite:framework",
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],
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alwayslink = 1,
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