Hi ,
I wanted to know if the conversion to etlt is as expected :
tlt-export faster_rcnn -k --data_type fp16 --max_batch_size 1 -m /mnt/nfs/nvidia_tlt/tlt-experiments/examples/faster_rcnn/sample_images_modified_checkpoint/frcnn_trafficlight_resnet10_sample_images_modified.epoch300.tlt -e /mnt/nfs/nvidia_tlt/tlt-experiments/examples/faster_rcnn/specs/traffic_lights_spec_resnet10_sample_image_modified.txt
Using TensorFlow backend.
2020-06-08 16:59:06,123 [INFO] /usr/local/lib/python2.7/dist-packages/iva/faster_rcnn/spec_loader/spec_loader.pyc: Loading experiment spec at /mnt/nfs/nvidia_tlt/tlt-experiments/examples/faster_rcnn/specs/traffic_lights_spec_resnet10_sample_image_modified.txt.
2020-06-08 17:01:55,055 [INFO] /usr/local/lib/python2.7/dist-packages/iva/faster_rcnn/spec_loader/spec_loader.pyc: Loading experiment spec at /mnt/nfs/nvidia_tlt/tlt-experiments/examples/faster_rcnn/specs/traffic_lights_spec_resnet10_sample_image_modified.txt.
NOTE: UFF has been tested with TensorFlow 1.14.0.
WARNING: The version of TensorFlow installed on this system is not guaranteed to work with UFF.
DEBUG: convert reshape to flatten node
Warning: No conversion function registered for layer: CropAndResize yet.
Converting roi_pooling_conv_1/CropAndResize_new as custom op: CropAndResize
Warning: No conversion function registered for layer: Proposal yet.
Converting proposal as custom op: Proposal
DEBUG [/usr/lib/python2.7/dist-packages/uff/converters/tensorflow/converter.py:96] Marking [‘proposal’, ‘dense_class_td/Softmax’, ‘dense_regress_td/BiasAdd’] as outputs
[TensorRT] INFO: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[TensorRT] INFO: Detected 1 inputs and 3 output network tensors.