ssd_mobilenet_v2_coco是Tensorflow模型,需要转换 sudo chmod -R 777 /opt/openvino_toolkit/models/public/ssd_mobilenet_v2_coco python3 converter.py --name=ssd_mobilenet_v2_coco --mo /opt/intel/openvino_2021/deployment_tools/model_optimizer/mo.py 制作label文件,从模型说明,了解到这个分类类别在文件<o...
我用tensorflow的object detection API训练得到的pb文件,转换完成之后,quantization.cfg文件并没有这些层,我用Netron看了下例子中提供的ssd_mobilenet_v2.pb网络,网络结构与tensorflow API训练得到的模型并不一样,应该是你们做了修改,对于这种情况,需要修改quantization.cfg文件吗,应该如何修改。我...
Model Version SSD MobileNetV2 SSD MobileNetV2 Resource Ascend 910; OS Euler2.8 GPU(Tesla V100 PCIE),CPU 2.1GHz 64 cores,Memory 128G Uploaded Date 07/05/2020 (month/day/year) 09/24/2020 (month/day/year) MindSpore Version 1.3.0 1.3.0 Dataset COCO2017 COCO2017 Training Parameters epoch = ...
mkdir-p~/tflite_models&&cd~/tflite_modelswgethttps://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zipunzipcoco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip 解压后的关键文件: detect.tflite:量化后的 TensorFlow Lite 模型 coco_labels.tx...
MobileNetV2-SSDLite $ wget -P models https://storage.googleapis.com/models-hao/mb2-ssd-lite-mp-0_686.pth Train Train MobileNet-SSD (VOC) $ python train_ssd_VOC.py --datasets ~/data/VOCdevkit/VOC2007/ --validation_dataset ~/data/VOCdevkit/test/VOC2007/ --net mb1-ssd --batch_size...
Hi, I downloaded ssd_mobilenet_v2_coco from Tensorflow detection model zoo and retrained the model to detect 6 classes of objects. For retraining, I
Hello everyone, I'm trying to convert the model SSD-MobileNet-v2-COCO (which I could find here:
将下载好的model解压后放在自定义路径下(如object_detection/ssd_model/),下载链接[http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_coco_2018_03_29.tar.gz] mobileNetv2_SSD使用tfrecord格式的数据进行训练,数据集是使用labelImg工具进行标注的xml格式,需要完成xml转csv再转为record文件。
real-timedeep-learningroboticspytorchobject-detectionjetsonros2tensorrtssd-mobilenetclassification-modelresnet-18ai-iot UpdatedJun 16, 2021 Python A Real Time Object Detection application on iOS using Tensorflow and pre-trained COCO dataset models. Video frames are captured and inference is done locally ...
I was trying to convert ssd_mobilenet_v2_coco model with input_shape=[1,480,640,3] using openvino 2020.1 using this command mo.py --framework=tf --data_type=FP16 --framework=tf --data_type=FP16 --output_dir=<Training_dir> -...