URL(s) with the issue:

https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/raspberry_pi

Description of issue (what needs changing):

Near the bottom of the instruction on speeding up inference it reads
python3 classify_picamera.py \

Based on the files in that example folder should that instead read
python3 detect_picamera.py \

Clear d

We recently merged https://github.com/NicolasHug/scikit-learn/blob/master/examples/release_highlights/plot_release_highlights_0_22_0.py to summarise the highlights of 0.22, to be released in early November.

More release highlights, briefly demonstrating the new thing in action, belong in that example doc:

• Permutation based feature importance
• HistGradientBoostingClassifier with m

Context

We would like to add the following two APIs to the C++ frontend:

• torch::nn::TripletMarginLoss , which is the equivalent of Python API torch.nn.TripletMarginLoss.
• torch::nn::functional::triplet_margin_loss, which is the equivalent of Python API torch.nn.functional.triplet_margin_loss.

Steps

• Add torch::nn::TripletMarginLossOptions to `torch/csrc/api/i

Short description

I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.

Environment

• Tesseract Version: 3.04.01
• Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
• Platform: Linux ubuntu

Could someone tell me if this example comes with any documents about preparing data, training, and testing? Thanks.

It would be useful to have an interface for symbolic LU factorizations with UMFPACK, similar to the CHOLMOD factorizations

I can not read Greek, but looking at the nouns in the lemma_index.json file for Greek, these are the first several entries:

"(ιρλανδικά)", "(σκωτικά)", "(σοράνι)", "-αλγία", "-βατώ", "-βατῶ", "-ούλα", "-πληξία", "-ώνυμο", "sofa", "table", "άβακας", "άβατο", "άβατον"

I'm pretty sure parentheses don't belong there, and the things that begin with hyphens and "table" and "sofa" seem out of