// Download models and Create ailiaModel
void CreateAdainNet(AiliaModel ailiaModelVgg, AiliaModel ailiaModelDecoder, bool gpu_mode = true)
{
string asset_path = Application.temporaryCachePath;
string serverFolderName = "adain";
if (gpu_mode)
{
// call before OpenFile
ailiaModelVgg.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
ailiaModelDecoder.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
}
AiliaDownload ailia_download = new AiliaDownload();
ailia_download.DownloaderProgressPanel = UICanvas.transform.Find("DownloaderProgressPanel").gameObject;
var urlList = new List <ModelDownloadURL>();
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = "adain-vgg.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = "adain-vgg.onnx"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = "adain-decoder.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = "adain-decoder.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
modelPrepared = ailiaModelVgg.OpenFile(asset_path + "/adain-vgg.onnx.prototxt", asset_path + "/adain-vgg.onnx") &
ailiaModelDecoder.OpenFile(asset_path + "/adain-decoder.onnx.prototxt", asset_path + "/adain-decoder.onnx");
}));
}
// Download models and Create ailiaModel
AiliaModel CreateAiliaNet(ImageSegmentaionModels modelType, bool gpu_mode = true)
{
string asset_path = Application.temporaryCachePath;
string serverFolderName = "";
string prototxtName = "";
string onnxName = "";
switch (modelType)
{
case ImageSegmentaionModels.HRNetV2_W18_Small_v2:
serverFolderName = "hrnet";
prototxtName = "HRNetV2-W18-Small-v2.onnx.prototxt";
onnxName = "HRNetV2-W18-Small-v2.onnx";
break;
case ImageSegmentaionModels.HRNetV2_W18_Small_v1:
serverFolderName = "hrnet";
prototxtName = "HRNetV2-W18-Small-v1.onnx.prototxt";
onnxName = "HRNetV2-W18-Small-v1.onnx";
break;
case ImageSegmentaionModels.HRNetV2_W48:
serverFolderName = "hrnet";
prototxtName = "HRNetV2-W48.onnx.prototxt";
onnxName = "HRNetV2-W48.onnx";
break;
case ImageSegmentaionModels.hair_segmentation:
serverFolderName = "hair_segmentation";
prototxtName = "hair_segmentation.opt.onnx.prototxt";
onnxName = "hair_segmentation.opt.onnx";
break;
case ImageSegmentaionModels.pspnet_hair_segmentation:
serverFolderName = "pspnet-hair-segmentation";
prototxtName = "pspnet-hair-segmentation.onnx.prototxt";
onnxName = "pspnet-hair-segmentation.onnx";
break;
case ImageSegmentaionModels.deeplabv3:
serverFolderName = "deeplabv3";
prototxtName = "deeplabv3.opt.onnx.prototxt";
onnxName = "deeplabv3.opt.onnx";
break;
}
ailiaModel = new AiliaModel();
if (gpu_mode)
{
// call before OpenFile
ailiaModel.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
}
AiliaDownload ailia_download = new AiliaDownload();
ailia_download.DownloaderProgressPanel = UICanvas.transform.Find("DownloaderProgressPanel").gameObject;
var urlList = new List <ModelDownloadURL>();
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = prototxtName
});
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = onnxName
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
modelPrepared = ailiaModel.OpenFile(asset_path + "/" + prototxtName, asset_path + "/" + onnxName);
}));
return(ailiaModel);
}
private void CreateAiliaDetector(AiliaModelsConst.AiliaModelTypes modelType)
{
string asset_path = Application.temporaryCachePath;
var urlList = new List <ModelDownloadURL>();
if (gpu_mode)
{
ailia_detector.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
}
switch (modelType)
{
case AiliaModelsConst.AiliaModelTypes.yolov1_tiny:
mode_text.text = "ailia yolov1-tiny Detector";
classifierLabel = AiliaClassifierLabel.VOC_CATEGORY;
threshold = 0.2f;
iou = 0.45f;
category_n = 20;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV1,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov1-tiny", file_name = "yolov1-tiny.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov1-tiny", file_name = "yolov1-tiny.caffemodel"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov1-tiny.prototxt", asset_path + "/yolov1-tiny.caffemodel");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov1_face:
mode_text.text = "ailia yolov1-face FaceDetector";
classifierLabel = new string[] { "face" };
threshold = 0.2f;
iou = 0.45f;
category_n = 1;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV1,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov1-face", file_name = "yolov1-face.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov1-face", file_name = "yolov1-face.caffemodel"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov1-face.prototxt", asset_path + "/yolov1-face.caffemodel");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov2:
mode_text.text = "ailia yolov2 Detector";
classifierLabel = AiliaClassifierLabel.COCO_CATEGORY;
threshold = 0.2f;
iou = 0.45f;
category_n = 80;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV2,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov2", file_name = "yolov2.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov2", file_name = "yolov2.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov2.onnx.prototxt", asset_path + "/yolov2.onnx");
ailia_detector.Anchors(AiliaClassifierLabel.COCO_ANCHORS);
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov3:
mode_text.text = "ailia yolov3 Detector";
classifierLabel = AiliaClassifierLabel.COCO_CATEGORY;
threshold = 0.4f;
iou = 0.45f;
category_n = 80;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV3,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3", file_name = "yolov3.opt.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3", file_name = "yolov3.opt.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov3.opt.onnx.prototxt", asset_path + "/yolov3.opt.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov3_tiny:
mode_text.text = "ailia yolov3-tiny Detector";
classifierLabel = AiliaClassifierLabel.COCO_CATEGORY;
threshold = 0.4f;
iou = 0.45f;
category_n = 80;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV3,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3-tiny", file_name = "yolov3-tiny.opt.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3-tiny", file_name = "yolov3-tiny.opt.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov3-tiny.opt.onnx.prototxt", asset_path + "/yolov3-tiny.opt.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov3_face:
mode_text.text = "ailia yolov3-face FaceDetector";
classifierLabel = new string[] { "face" };
//Face Detection
threshold = 0.2f;
iou = 0.45f;
category_n = 1;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV3,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3-face", file_name = "yolov3-face.opt.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3-face", file_name = "yolov3-face.opt.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov3-face.opt.onnx.prototxt", asset_path + "/yolov3-face.opt.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov3_hand:
mode_text.text = "ailia yolov3-hand Detector";
classifierLabel = new string[] { "hand" };
threshold = 0.4f;
iou = 0.45f;
category_n = 1;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV3,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3-hand", file_name = "yolov3-hand.opt.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov3-hand", file_name = "yolov3-hand.opt.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov3-hand.opt.onnx.prototxt", asset_path + "/yolov3-hand.opt.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov4:
mode_text.text = "ailia yolov4 Detector";
classifierLabel = AiliaClassifierLabel.COCO_CATEGORY;
threshold = 0.4f;
iou = 0.45f;
category_n = 80;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV4,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov4", file_name = "yolov4.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov4", file_name = "yolov4.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov4.onnx.prototxt", asset_path + "/yolov4.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.yolov4_tiny:
mode_text.text = "ailia yolov4-tiny Detector";
classifierLabel = AiliaClassifierLabel.COCO_CATEGORY;
threshold = 0.25f;
iou = 0.45f;
category_n = 80;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_YOLOV4,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov4-tiny", file_name = "yolov4-tiny.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "yolov4-tiny", file_name = "yolov4-tiny.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/yolov4-tiny.onnx.prototxt", asset_path + "/yolov4-tiny.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.mobilenet_ssd:
mode_text.text = "ailia mobilenet_ssd Detector. Pretraine model : " + pretrainedModel;
classifierLabel = AiliaClassifierLabel.VOC_CATEGORY;
threshold = 0.4f;
iou = 0.45f;
category_n = 80;
ailia_detector.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32,
AiliaDetector.AILIA_DETECTOR_ALGORITHM_SSD,
category_n,
AiliaDetector.AILIA_DETECTOR_FLAG_NORMAL
);
var model_path = pretrainedModel + ".onnx.prototxt";
var weight_path = pretrainedModel + ".onnx";
urlList.Add(new ModelDownloadURL()
{
folder_path = "mobilenet_ssd", file_name = model_path
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "mobilenet_ssd", file_name = weight_path
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_detector.OpenFile(asset_path + "/" + model_path, asset_path + "/" + weight_path);
}));
break;
case AiliaModelsConst.AiliaModelTypes.maskrcnn:
Debug.Log("maskrcnn is working in progress.");
/*
* mode_text.text = "ailia maskrcnn Detector";
*
* // Download
* urlList.Add(new ModelDownloadURL() { folder_path = "mask_rcnn", file_name = "mask_rcnn_R_50_FPN_1x.onnx.prototxt" });
* urlList.Add(new ModelDownloadURL() { folder_path = "mask_rcnn", file_name = "mask_rcnn_R_50_FPN_1x.onnx" });
*
* StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
* {
* FileOpened = ailia_detector.OpenFile(asset_path + "/mask_rcnn_R_50_FPN_1x.onnx.prototxt", asset_path + "/mask_rcnn_R_50_FPN_1x.onnx");
* Ailia.AILIAShape shape;
* shape = ailia_detector.GetInputShape();
* }));
*/
break;
default:
Debug.Log("Others ailia models are working in progress.");
break;
}
}
private void CreateAilia()
{
string asset_path = Application.temporaryCachePath;
var urlList = new List <ModelDownloadURL>();
if (gpu_mode)
{
ailia_classifier_model.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
}
switch (ailiaModelType)
{
case AiliaModelsConst.AiliaModelTypes.vgg16:
break;
case AiliaModelsConst.AiliaModelTypes.googlenet:
ailia_classifier_model.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "googlenet", file_name = "googlenet.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "googlenet", file_name = "googlenet.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_classifier_model.OpenFile(asset_path + "/googlenet.onnx.prototxt", asset_path + "/googlenet.onnx");
}));
break;
case AiliaModelsConst.AiliaModelTypes.resnet50:
ailia_classifier_model.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_SIGNED_INT8
);
var model_path = resnet50model + ".onnx.prototxt";
var weight_path = resnet50model + ".onnx";
urlList.Add(new ModelDownloadURL()
{
folder_path = "resnet50", file_name = model_path
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "resnet50", file_name = weight_path
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_classifier_model.OpenFile(asset_path + "/" + model_path, asset_path + "/" + weight_path);
}));
break;
case AiliaModelsConst.AiliaModelTypes.inceptionv3:
ailia_classifier_model.Settings(
AiliaFormat.AILIA_NETWORK_IMAGE_FORMAT_RGB,
AiliaFormat.AILIA_NETWORK_IMAGE_CHANNEL_FIRST,
AiliaFormat.AILIA_NETWORK_IMAGE_RANGE_UNSIGNED_FP32
);
urlList.Add(new ModelDownloadURL()
{
folder_path = "inceptionv3", file_name = "inceptionv3.onnx.prototxt"
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "inceptionv3", file_name = "inceptionv3.onnx"
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_classifier_model.OpenFile(asset_path + "/inceptionv3.onnx.prototxt", asset_path + "/inceptionv3.onnx");
}));
break;
}
}
// Download models and Create ailiaModel
AiliaModel CreateAiliaNet(ImageManipulationModels modelType, bool gpu_mode = true)
{
string asset_path = Application.temporaryCachePath;
string serverFolderName = "";
string prototxtName = "";
string onnxName = "";
switch (modelType)
{
case ImageManipulationModels.SRResNet:
serverFolderName = "srresnet";
prototxtName = "srresnet.opt.onnx.prototxt";
onnxName = "srresnet.opt.onnx";
break;
case ImageManipulationModels.Noise2Noise:
serverFolderName = "noise2noise";
prototxtName = "noise2noise_gaussian.onnx.prototxt";
onnxName = "noise2noise_gaussian.onnx";
break;
case ImageManipulationModels.IlluminationCorrection:
serverFolderName = "illnet";
prototxtName = "illnet.onnx.prototxt";
onnxName = "illnet.onnx";
break;
case ImageManipulationModels.Colorization:
serverFolderName = "colorization";
prototxtName = "colorizer.onnx.prototxt";
onnxName = "colorizer.onnx";
break;
}
ailiaModel = new AiliaModel();
if (gpu_mode)
{
// call before OpenFile
ailiaModel.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
}
AiliaDownload ailia_download = new AiliaDownload();
ailia_download.DownloaderProgressPanel = UICanvas.transform.Find("DownloaderProgressPanel").gameObject;
var urlList = new List <ModelDownloadURL>();
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = prototxtName
});
urlList.Add(new ModelDownloadURL()
{
folder_path = serverFolderName, file_name = onnxName
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
modelPrepared = ailiaModel.OpenFile(asset_path + "/" + prototxtName, asset_path + "/" + onnxName);
}));
return(ailiaModel);
}
private void CreateAiliaPoseEstimator()
{
string asset_path = Application.temporaryCachePath;
var urlList = new List <ModelDownloadURL>();
if (gpu_mode)
{
ailia_pose.Environment(Ailia.AILIA_ENVIRONMENT_TYPE_GPU);
}
switch (ailiaModelType)
{
case AiliaModelsConst.AiliaModelTypes.openpose:
/*
* // Download url is uncertain.
* ailia_pose.Settings(AiliaPoseEstimator.AILIA_POSE_ESTIMATOR_ALGORITHM_OPEN_POSE);
*
* urlList.Add(new ModelDownloadURL() { folder_path = "openpose", file_name = "pose_deploy.prototxt" });
* urlList.Add(new ModelDownloadURL() { folder_path = "openpose", file_name = "pose_iter_440000.caffemodel" });
*
* StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
* {
* FileOpened = ailia_pose.OpenFile(asset_path + "/pose_deploy.prototxt", asset_path + "/pose_iter_440000.caffemodel");
* }));
*/
break;
case AiliaModelsConst.AiliaModelTypes.lightweight_human_pose_estimation:
ailia_pose.Settings(AiliaPoseEstimator.AILIA_POSE_ESTIMATOR_ALGORITHM_LW_HUMAN_POSE);
var model_path = "lightweight-human-pose-estimation";
var weight_path = "lightweight-human-pose-estimation";
if (optimizedModel)
{
model_path += ".opt.onnx.prototxt";
weight_path += ".opt.onnx";
}
else
{
model_path += ".onnx.prototxt";
weight_path += ".onnx";
}
urlList.Add(new ModelDownloadURL()
{
folder_path = "lightweight-human-pose-estimation", file_name = model_path
});
urlList.Add(new ModelDownloadURL()
{
folder_path = "lightweight-human-pose-estimation", file_name = weight_path
});
StartCoroutine(ailia_download.DownloadWithProgressFromURL(urlList, () =>
{
FileOpened = ailia_pose.OpenFile(asset_path + "/" + model_path, asset_path + "/" + weight_path);
}));
break;
case AiliaModelsConst.AiliaModelTypes.lightweight_human_pose_estimation_3d:
break;
default:
Debug.Log("Others ailia models are working in progress.");
break;
}
}
