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[OV JS] Add optical-character-recognition sample notebook #25191

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merged 17 commits into from
Jul 26, 2024
Merged

[OV JS] Add optical-character-recognition sample notebook #25191

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44812c9
added ocr sample and updated readme
qxprakash Jun 24, 2024
e0e8327
path fixes
qxprakash Jun 27, 2024
24dec7a
fixes
qxprakash Jul 5, 2024
e6440e9
download detection model , add utility function scaleShape , remove s…
qxprakash Jul 6, 2024
788a8b5
formatting fixes
qxprakash Jul 6, 2024
a0e3362
name fixes
qxprakash Jul 7, 2024
32b0e07
replaced infer with inferAsync
qxprakash Jul 8, 2024
ec1ca11
formatting fixes
qxprakash Jul 8, 2024
d4b5202
formatting fixes
qxprakash Jul 8, 2024
57a6f6a
remove extra line
qxprakash Jul 8, 2024
8fe8d4c
Codestyle remarks fixes
qxprakash Jul 9, 2024
5dfb7eb
Code remarks fixes
qxprakash Jul 9, 2024
d0a9b06
suggested fixes
qxprakash Jul 11, 2024
e70b89e
formatting fixes
qxprakash Jul 18, 2024
00c750a
remove the first cell error
qxprakash Jul 22, 2024
15a5d43
imports formatting
qxprakash Jul 24, 2024
b5e3411
Merge branch 'master' into ocr-sample
vishniakov-nikolai Jul 25, 2024
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remove extra line
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@qxprakash
qxprakash committed Jul 8, 2024
commit 57a6f6a89d57d536808a33effc5fd3207def18bf
2 changes: 1 addition & 1 deletion samples/js/node/notebooks/optical-character-recognition.nnb
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Expand Up @@ -128,7 +128,7 @@
{
"language": "typescript",
"source": [
"// Create infer request\nconst inferRequest = detCompiledModel.createInferRequest();\nlet boundingBoxesArray;\n// Define the completion callback function\nconst completionCallback = (outputTensor, displayImageMat) => {\n boundingBoxesArray = extractBoundingBoxes(outputTensor);\n displayArrayAsImage(displayImageMat.data, \n displayImageMat.cols, \n displayImageMat.rows, \n display);\n};\n\n// Start inference in asynchronous mode\nconst inferAsyncProcess = async () => {\n try {\n const result = await inferRequest.inferAsync([tensor]);\n completionCallback(result[detOutputLayer], displayImageMat);\n } catch (error) {\n console.error('Error during inference:', error);\n }\n};\n\n\nawait inferAsyncProcess();\n"
"// Create infer request\nconst inferRequest = detCompiledModel.createInferRequest();\nlet boundingBoxesArray;\n// Define the completion callback function\nconst completionCallback = (outputTensor, displayImageMat) => {\n boundingBoxesArray = extractBoundingBoxes(outputTensor);\n displayArrayAsImage(displayImageMat.data, \n displayImageMat.cols, \n displayImageMat.rows, \n display);\n};\n\n// Start inference in asynchronous mode\nconst inferAsyncProcess = async () => {\n try {\n const result = await inferRequest.inferAsync([tensor]);\n completionCallback(result[detOutputLayer], displayImageMat);\n } catch (error) {\n console.error('Error during inference:', error);\n }\n};\n\nawait inferAsyncProcess();\n"
],
"outputs": [
{
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