im trying to load a font with Jimp but ive this error : Error: no named row at line 1
So i tried to load others font but i had the same error Error: no named row at line 1.
const policedecriture = await Jimp.loadFont(fontpath)```
Related
I am getting error when opening a shapefile that I downloaded from ArcGIs Hub. I am using the geopandas library in python and the code used is:
data = geopandas.read_file('filepath/name.shp')
I get the following error message:
CRSError: Invalid projection: epsg:4326: (Internal Proj Error: proj_create: SQLite error on SELECT name, type, coordinate_system_auth_name, coordinate_system_code, datum_auth_name, datum_code, area_of_use_auth_name, area_of_use_code, text_definition, deprecated FROM geodetic_crs WHERE auth_name = ? AND code = ?: no such column: area_of_use_auth_name)
Downloaded shapefile from the following link:
(https://hub.arcgis.com/search?collection=App%2CMap)
I am having issues with Apple Turi Create and image classifier. I have successfully created a model with 22 categories. I have recently added 5 more categories and console is giving me error warning
Please use dropna() to drop rows with missing target values.
The full console log looks like this:
[16:30:30] src/nnvm/legacy_json_util.cc:190: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
[16:30:30] src/nnvm/legacy_json_util.cc:198: Symbol successfully upgraded!
Resizing images...
Performing feature extraction on resized images...
Premature end of JPEG file
Completed 512/1883
Completed 1024/1883
Completed 1536/1883
Completed 1883/1883
PROGRESS: Creating a validation set from 5 percent of training data. This may take a while.
You can set ``validation_set=None`` to disable validation tracking.
[ERROR] turicreate.toolkits._main: Toolkit error: Target column has missing value.
Please use dropna() to drop rows with missing target values.
Traceback (most recent call last):
File "train.py", line 8, in <module>
model = tc.image_classifier.create(train_data, target='label', max_iterations=1000)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/turicreate/toolkits/image_classifier/image_classifier.py", line 132, in create
verbose=verbose)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/turicreate/toolkits/classifier/logistic_classifier.py", line 312, in create
seed=seed)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/turicreate/toolkits/_supervised_learning.py", line 397, in create
options, verbose)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/turicreate/toolkits/_main.py", line 75, in run
raise ToolkitError(str(message))
turicreate.toolkits._main.ToolkitError: Target column has missing value.
Please use dropna() to drop rows with missing target values.
I have upgraded turi and coremltools to the lates versions, but I don't know where I should implement the dropna() in the code. I only found this reference and followed the code.
It looks like this:
data.py
import turicreate as tc
image_data = tc.image_analysis.load_images('images', with_path=True)
labels = ['A', 'B', 'C', 'D']
def get_label(path, labels=labels):
for label in labels:
if label in path:
return label
image_data['label'] = image_data['path'].apply(get_label)
#import os
#image_data['label'] = image_data['path'].apply(lambda path: os.path.dirname(path).split('/')[-1])
image_data.save('boxes.sframe')
image_data.explore()
train.py
import turicreate as tc
data = tc.SFrame('boxes.sframe')
data.dropna()
train_data, test_data = data.random_split(0.8)
model = tc.image_classifier.create(train_data, target='label', max_iterations=1000)
predictions = model.classify(test_data)
results = model.evaluate(test_data)
print "Accuracy : %s" % results['accuracy']
print "Confusion Matrix : \n%s" % results['confusion_matrix']
model.save('boxes.model')
How do I drop all the empty columns and rows please? Does the max_iterations=1000 have also effect on the error?
Thank you for suggestions
data.dropna() isn't done in place, you need to write it: data = data.dropna()
See documentation here https://apple.github.io/turicreate/docs/api/generated/turicreate.SFrame.dropna.html
I was creating lmdb database for images with labels. My code is follows:
with in_db.begin(write=True) as in_txn:
for in_idx, img_path in enumerate(X):
img = cv2.imread(img_path, cv2.IMREAD_COLOR)
#print(Y_gender[in_idx])
label = int(Y_gender[in_idx])
datum = make_datum(img, label)
in_txn.put('{:0>8d}'.format(in_idx), datum.SerializeToString())
#print '{:0>8d}'.format(in_idx) + ':' + img_path
in_db.close()
and I am getting following error:
Traceback (most recent call last):
File "create_lmdb_faces.py", line 40, in <module>
in_txn.put('{:0>8d}'.format(in_idx), datum.SerializeToString())
lmdb.Error: mdb_txn_commit: Input/output error
How can I fix this error?
You could be running out of disk space. The .mdb file is huge. This is the closest answer I could get for my situation. Not sure about your case. Simply write to another disk.
Check this answer from Google groups
I am new to HDF5 file format and I have a data(images) saved in HDF5 format. The images are saved undere a group called 'data' which is under the root group as Carrays. what I want to do is to retrive a slice of the saved images. for example the first 400 or somthing like that. The following is what I did.
h5f = h5py.File('images.h5f', 'r')
image_grp= h5f['/data/'] #the image group (data) is opened
print(image_grp[0:400])
but I am getting the following error
Traceback (most recent call last):
File "fgf.py", line 32, in <module>
print(image_grp[0:40])
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
(/feedstock_root/build_artefacts/h5py_1496410723014/work/h5py-2.7.0/h5py/_objects.c:2846)
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
(/feedstock_root/build_artefacts/h5py_1496410723014/work/h5py
2.7.0/h5py/_objects.c:2804)
File "/..../python2.7/site-packages/h5py/_hl/group.py", line 169, in
__getitem__oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "/..../python2.7/site-packages/h5py/_hl/base.py", line 133, in _e name = name.encode('ascii')
AttributeError: 'slice' object has no attribute 'encode'
I am not sure why I am getting this error but I am not even sure if I can slice the images which are saved as individual datasets.
I know this is an old question, but it is the first hit when searching for 'slice' object has no attribute 'encode' and it has no solution.
The error happens because the "group" is a group which does not have the encoding attribute. You are looking for the dataset element.
You need to find/know the key for the item that contains the dataset.
One suggestion is to list all keys in the group, and then guess which one it is:
print(list(image_grp.keys()))
This will give you the keys in the group.
A common case is that the first element is the image, so you can do this:
image_grp= h5f['/data/']
image= image_grp(image_grp.keys[0])
print(image[0:400])
yesterday I had a similar error and wrote this little piece of code to take my desired slice of h5py file.
import h5py
def h5py_slice(h5py_file, begin_index, end_index):
slice_list = []
with h5py.File(h5py_file, 'r') as f:
for i in range(begin_index, end_index):
slice_list.append(f[str(i)][...])
return slice_list
and it can be used like
the_desired_slice_list = h5py_slice('images.h5f', 0, 400)
I tried the demo app, it works fine but when I tried to integrate my own .jsgf grammar file it is giving error when I tried same thing using .lm file for the same dictionary it is working fine .
I referred to PocketSphinx android demo runtime exception link but it didn't help me out
Following is the code snippet:
private void setupRecognizer(File assetsDir) throws IOException {
// The recognizer can be configured to perform multiple searches
// of different kind and switch between them
File modelsDir = new File(assetsDir, "models");
mRecognizer = defaultSetup()
.setAcousticModel(new File(assetsDir, "en-us-ptm"))
.setDictionary(new File(assetsDir, "cmudict-en-us.dict"))
.setRawLogDir(assetsDir)
.setKeywordThreshold(1e-10f)
.setFloat("-beam", 1e-30f)
.setBoolean("-allphone_ci", true)
.getRecognizer();
mRecognizer.addListener(this);
File languageModel = new File(assetsDir, "commands_gram.gram");
mRecognizer.addGrammarSearch(COMMANDS, languageModel);
}
Following is the error
E/cmusphinx: ERROR: "fsg_search.c", line 141: The word 'next' is missing in the dictionary
E/AndroidRuntime: FATAL EXCEPTION: AsyncTask #1
Process: java.lang.RuntimeException: An error occured while executing doInBackground()
at android.os.AsyncTask$3.done(AsyncTask.java:300)
at java.util.concurrent.FutureTask.finishCompletion(FutureTask.java:355)
at java.util.concurrent.FutureTask.setException(FutureTask.java:222)
at java.util.concurrent.FutureTask.run(FutureTask.java:242)
at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:231)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1112)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:587)
at java.lang.Thread.run(Thread.java:818)
Caused by: java.lang.RuntimeException: Decoder_setJsgfFile returned -1
at edu.cmu.pocketsphinx.PocketSphinxJNI.Decoder_setJsgfFile(Native Method)
at edu.cmu.pocketsphinx.Decoder.setJsgfFile(Decoder.java:139)
at edu.cmu.pocketsphinx.SpeechRecognizer.addGrammarSearch(SpeechRecognizer.java:234)
at com.package.ui.SphinxSpeechRecognizerActivity.setupRecognizer(SphinxSpeechRecognizerActivity.java:284)
at com.package.ui.SphinxSpeechRecognizerActivity.access$400(SphinxSpeechRecognizerActivity.java:29)
at com.package.ui.SphinxSpeechRecognizerActivity$3.doInBackground(SphinxSpeechRecognizerActivity.java:239)
at com.package.ui.SphinxSpeechRecognizerActivity$3.doInBackground(SphinxSpeechRecognizerActivity.java:233)
at android.os.AsyncTask$2.call(AsyncTask.java:288)
at java.util.concurrent.FutureTask.run(FutureTask.java:237)
at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:231)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1112)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:587)
at java.lang.Thread.run(Thread.java:818)
Also I realized that any .jsgf grammar file I am using it is not detecting the last word from the dictionary. before it was working fine after I changed to my own .jsgf grammar file it is giving exception
This line:
E/cmusphinx: ERROR: "fsg_search.c", line 141: The word 'next' is missing in the dictionary
tells you need to add the word 'next' to the dictionary. You used this word in your JSGF grammar, but it was missing in the dictionary. Words are case-sensitive, so you need to make sure you use proper case.
I maybe know your problem.
Your have to make the grammar in correct form,like your space and tab.
I suggest you checking your grammar for block or tab.
Sorry my poor English.