File Not found Error, File exists in the path mentioned
Following are the details
Created the Docker container called as taoyolov4 using the following command
docker run --runtime=nvidia -it -p 7001:8001 -v /var/run/docker.sock:/var/run/docker.sock nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3 /bin/bash
I login into the container using
'Docker exec -it taoyolov4 bash
Following is the directory structure of my workspace
/workspace/cv_samples_v1.3.0/yolo_v4/
init.py
specs
tao-experiments
yolo_v4.ipynb
#Set up env variables and map drives
Setting up env variables for cleaner command line commands.
import os
print("Please replace the variable with your key.")
%env KEY=ZGNpYXZ0NHE1czFmbDBlcGR0Z2RzOHJqcWw6NGZjMjUwMDMtN2QyNC00MzYzLTlhZDctOTA1MDM3YTUwYTMy
%env USER_EXPERIMENT_DIR=/workspace/cv_samples_v1.3.0/yolo_v4/tao-experiments/yolo_v4
%env DATA_DOWNLOAD_DIR=/workspace/cv_samples_v1.3.0/yolo_v4/tao-experiments/data
# Set this path if you don't run the notebook from the samples directory.
%env NOTEBOOK_ROOT=/workspace/cv_samples_v1.3.0/yolo_v4
# Please define this local project directory that needs to be mapped to the TAO docker session.
# The dataset expected to be present in $LOCAL_PROJECT_DIR/data, while the results for the steps
# in this notebook will be stored at $LOCAL_PROJECT_DIR/yolo_v4
%env LOCAL_PROJECT_DIR=tao-experiments
os.environ["LOCAL_DATA_DIR"] = os.path.join(os.getenv("LOCAL_PROJECT_DIR", os.getcwd()), "data")
os.environ["LOCAL_EXPERIMENT_DIR"] = os.path.join(os.getenv("LOCAL_PROJECT_DIR", os.getcwd()), "yolo_v4")
# The sample spec files are present in the same path as the downloaded samples.
os.environ["LOCAL_SPECS_DIR"] = os.path.join(
os.getenv("NOTEBOOK_ROOT", os.getcwd()),
"specs"
)
%env SPECS_DIR=/workspace/cv_samples_v1.3.0/yolo_v4/specs
# Showing list of specification files.
!ls -rlt $LOCAL_SPECS_DIR `Preformatted text`
Mapping up the local directories to the TAO docker.
import json
mounts_file = os.path.expanduser("~/.tao_mounts.json")
# Define the dictionary with the mapped drives
drive_map = {
"Mounts": [
# Mapping the data directory
{
"source": os.environ["LOCAL_PROJECT_DIR"],
"destination": "/workspace/cv_samples_v1.3.0/yolo_v4/tao-experiments"
},
# Mapping the specs directory.
{
"source": os.environ["LOCAL_SPECS_DIR"],
"destination": os.environ["SPECS_DIR"]
},
]
}
!tao yolo_v4 dataset_convert -d $SPECS_DIR/yolo_v4_tfrecords_kitti_train.txt \
-o $DATA_DOWNLOAD_DIR/training/tfrecords/train
#ERROR
2022-04-26 11:41:32,999 [INFO] root: Registry: ['nvcr.io']
2022-04-26 11:41:33,232 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3
2022-04-26 11:41:33,467 [WARNING] tlt.components.docker_handler.docker_handler:
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the "user":"UID:GID" in the
DockerOptions portion of the "/root/.tao_mounts.json" file. You can obtain your
users UID and GID by using the "id -u" and "id -g" commands on the
terminal.
Using TensorFlow backend.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
Traceback (most recent call last):
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/yolo_v4/scripts/dataset_convert.py", line 18, in <module>
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/dataset_convert.py", line 110, in main
FileNotFoundError: [Errno 2] No such file or directory: '/workspace/cv_samples_v1.3.0/yolo_v4/specs/yolo_v4_tfrecords_kitti_train.txt'
2022-04-26 11:41:51,298 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.
