def image_classification_dataset_create():
form = ImageClassificationDatasetForm()
if not form.validate_on_submit():
return render_template('datasets/images/classification/new.html',
form=form), 400
job = None
try:
job = ImageClassificationDatasetJob(name=form.dataset_name.data,
image_dims=(
int(form.resize_height.data),
int(form.resize_width.data),
int(form.resize_channels.data),
),
resize_mode=form.resize_mode.data)
if form.method.data == 'folder':
from_folders(job, form)
elif form.method.data == 'textfile':
from_files(job, form)
scheduler.add_job(job)
return redirect(url_for('datasets_show', job_id=job.id()))
except:
if job:
scheduler.delete_job(job)
raise
def image_classification_dataset_create():
form = ImageClassificationDatasetForm()
if not form.validate_on_submit():
return render_template('datasets/images/classification/new.html', form=form), 400
job = None
try:
job = ImageClassificationDatasetJob(
name = form.dataset_name.data,
image_dims = (
int(form.resize_height.data),
int(form.resize_width.data),
int(form.resize_channels.data),
),
resize_mode = form.resize_mode.data
)
if form.method.data == 'folder':
from_folders(job, form)
elif form.method.data == 'textfile':
from_files(job, form)
scheduler.add_job(job)
return redirect(url_for('datasets_show', job_id=job.id()))
except:
if job:
scheduler.delete_job(job)
raise
def image_classification_dataset_create():
"""
Creates a new ImageClassificationDatasetJob
Returns JSON when requested: {job_id,name,status} or {errors:[]}
"""
form = ImageClassificationDatasetForm()
## Is there a request to clone a job with ?clone=<job_id>
fill_form_if_cloned(form)
if not form.validate_on_submit():
if request_wants_json():
return flask.jsonify({'errors': form.errors}), 400
else:
return flask.render_template(
'datasets/images/classification/new.html', form=form), 400
job = None
try:
job = ImageClassificationDatasetJob(
name=form.dataset_name.data,
image_dims=(
int(form.resize_height.data),
int(form.resize_width.data),
int(form.resize_channels.data),
),
resize_mode=form.resize_mode.data,
bbox_mode=int(form.bbox_mode.data),
scale_factor=float(form.scale_factor.data),
)
if form.method.data == 'folder':
from_folders(job, form)
elif form.method.data == 'textfile':
from_files(job, form)
elif form.method.data == 'jsonfile':
from_json(job, form)
else:
raise ValueError('method not supported')
## Save form data with the job so we can easily clone it later.
save_form_to_job(job, form)
scheduler.add_job(job)
if request_wants_json():
return flask.jsonify(job.json_dict())
else:
return flask.redirect(
flask.url_for('datasets_show', job_id=job.id()))
except:
if job:
scheduler.delete_job(job)
raise
def image_classification_dataset_create():
"""
Creates a new ImageClassificationDatasetJob
Returns JSON when requested: {job_id,name,status} or {errors:[]}
"""
form = ImageClassificationDatasetForm()
## Is there a request to clone a job with ?clone=<job_id>
fill_form_if_cloned(form)
if not form.validate_on_submit():
if request_wants_json():
return flask.jsonify({"errors": form.errors}), 400
else:
return flask.render_template("datasets/images/classification/new.html", form=form), 400
job = None
try:
job = ImageClassificationDatasetJob(
name=form.dataset_name.data,
image_dims=(int(form.resize_height.data), int(form.resize_width.data), int(form.resize_channels.data)),
resize_mode=form.resize_mode.data,
bbox_mode=int(form.bbox_mode.data),
scale_factor=float(form.scale_factor.data),
)
if form.method.data == "folder":
from_folders(job, form)
elif form.method.data == "textfile":
from_files(job, form)
elif form.method.data == "jsonfile":
from_json(job, form)
else:
raise ValueError("method not supported")
## Save form data with the job so we can easily clone it later.
save_form_to_job(job, form)
scheduler.add_job(job)
if request_wants_json():
return flask.jsonify(job.json_dict())
else:
return flask.redirect(flask.url_for("datasets_show", job_id=job.id()))
except:
if job:
scheduler.delete_job(job)
raise
def image_classification_dataset_create():
"""
Creates a new ImageClassificationDatasetJob
Returns JSON when requested: {job_id,name,status} or {errors:[]}
"""
form = ImageClassificationDatasetForm()
if not form.validate_on_submit():
if request_wants_json():
return flask.jsonify({'errors': form.errors}), 400
else:
return flask.render_template('datasets/images/classification/new.html', form=form), 400
job = None
try:
job = ImageClassificationDatasetJob(
name = form.dataset_name.data,
image_dims = (
int(form.resize_height.data),
int(form.resize_width.data),
int(form.resize_channels.data),
),
resize_mode = form.resize_mode.data
)
if form.method.data == 'folder':
from_folders(job, form)
elif form.method.data == 'textfile':
from_files(job, form)
else:
raise ValueError('method not supported')
scheduler.add_job(job)
if request_wants_json():
return flask.jsonify(job.json_dict())
else:
return flask.redirect(flask.url_for('datasets_show', job_id=job.id()))
except:
if job:
scheduler.delete_job(job)
raise
def image_classification_dataset_create():
"""
Creates a new ImageClassificationDatasetJob
Returns JSON when requested: {job_id,name,status} or {errors:[]}
"""
form = ImageClassificationDatasetForm()
if not form.validate_on_submit():
if request_wants_json():
return flask.jsonify({'errors': form.errors}), 400
else:
return flask.render_template('datasets/images/classification/new.html', form=form), 400
job = None
try:
job = ImageClassificationDatasetJob(
name = form.dataset_name.data,
image_dims = (
int(form.resize_height.data),
int(form.resize_width.data),
int(form.resize_channels.data),
),
resize_mode = form.resize_mode.data
)
if form.method.data == 'folder':
from_folders(job, form)
elif form.method.data == 'textfile':
from_files(job, form)
else:
raise ValueError('method not supported')
scheduler.add_job(job)
if request_wants_json():
return flask.jsonify(job.json_dict())
else:
return flask.redirect(flask.url_for('datasets_show', job_id=job.id()))
except:
if job:
scheduler.delete_job(job)
raise