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Oct 28, 2024
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Small typos #3892

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a1077c0
Small typos
lurch Oct 23, 2024
87f36f1
pluralise "output tensors"
lurch Oct 27, 2024
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8 changes: 4 additions & 4 deletions documentation/asciidoc/accessories/ai-camera/details.adoc
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Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ Once `libcamera` dequeues the image and inference data buffers from the kernel,
| Floating point array storing the input tensor.

| `CnnOutputTensorInfo`
| Network specific parameters describing the output tensors structure:
| Network specific parameters describing the output tensor's structure:

[source,c]
----
Expand All @@ -67,7 +67,7 @@ struct CnnOutputTensorInfo {
----

| `CnnInputTensorInfo`
| Network specific parameters describing the input tensors structure:
| Network specific parameters describing the input tensor's structure:

[source,c]
----
Expand Down Expand Up @@ -204,7 +204,7 @@ def draw_detections(request, detections, stream="main"):
cv2.rectangle(m.array, (b.x, b.y), (b.x + b.width, b.y + b.height), (255, 0, 0, 0))

def parse_detections(request, stream='main'):
"""Parse the output tensor into a number of detected objects, scaled to the ISP out."""
"""Parse the output tensor into a number of detected objects, scaled to the ISP output."""
outputs = imx500.get_outputs(request.get_metadata())
boxes, scores, classes = outputs[0][0], outputs[1][0], outputs[2][0]
detections = [ Detection(box, category, score, metadata)
Expand Down Expand Up @@ -245,7 +245,7 @@ There are a number of scaling/cropping/translation operations occurring from the
| Returns the input tensor size based on the neural network model used.

| `IMX500.get_outputs(metadata)`
| Returns the output tensors from the Picamera2 image metadata metadata.
| Returns the output tensors from the Picamera2 image metadata.

| `IMX500.get_output_shapes(metadata)`
| Returns the shape of the output tensors from the Picamera2 image metadata for the neural network model used.
Expand Down