Hello I’m having trouble running fast_depth on hailo15h.
I used the following pipeline to make sure that the inputs are going to the model properly.
PIPELINE="gst-launch-1.0 \
hailofrontendbinsrc config-file-path=$frontend_config_file_path ! \
queue leaky=no max-size-buffers=$max_buffers_size ! \
video/x-raw,format=NV12,width=224,height=224 ! \
videoconvert ! identity silent=false ! \
video/x-raw,format=RGB,width=224,height=224 ! \
hailonet hef-path=$hef_path vdevice-group-id=device0 \
${additional_parameters}"
eval $PIPELINE
The models are as follows.
root@hailo15:~/depth_estimation# hailortcli parse-hef ./resources/fast_depth.hef
Architecture HEF was compiled for: HAILO15H
Network group name: fast_depth, Single Context
Network name: fast_depth/fast_depth
VStream infos:
Input fast_depth/input_layer1 UINT8, NHWC(224x224x3)
Output fast_depth/conv20 UINT16, NHWC(224x224x1)
I’m running fast_depth.hef in the model Zoo as above, but it seems that the input is not going in the model properly.
Did I miss or do anything wrong?
If there is a file you need, I will upload it as much as possible.