Install OpenCV 4.1.2 on Raspbian Buster
$ chmod +x *.sh
$ ./download-opencv.sh
$ ./install-deps.sh
$ ./build-opencv.sh
$ cd ~/opencv/opencv-4.1.2/build
$ sudo make install
import sys | |
from collections import OrderedDict | |
PY2 = sys.version_info[0] == 2 | |
_internal_attrs = {'_backend', '_parameters', '_buffers', '_backward_hooks', '_forward_hooks', '_forward_pre_hooks', '_modules'} | |
class Scope(object): | |
def __init__(self): | |
self._modules = OrderedDict() |
Install OpenCV 4.1.2 on Raspbian Buster
$ chmod +x *.sh
$ ./download-opencv.sh
$ ./install-deps.sh
$ ./build-opencv.sh
$ cd ~/opencv/opencv-4.1.2/build
$ sudo make install
word_to_id = imdb.get_word_index() | |
word_to_id = {k: (v+3) for k, v in word_to_id.items()} | |
id_to_word = {value: key for key, value in word_to_id.items()} | |
id_to_word[0] = "" # Padding | |
id_to_word[1] = "" # Start token | |
id_to_word[2] = "�" # Unknown | |
id_to_word[3] = "" # End token | |
def decode(word): |
First: install the CLI program for your distribution: https://cloud.google.com/sdk/install
Modify accordingly:
export REGION='us-central1'
export ZONE='us-central1-f'
export PROJECT_NAME='proj'
def get_classification_report(y_test, y_pred): | |
'''Source: https://stackoverflow.com/questions/39662398/scikit-learn-output-metrics-classification-report-into-csv-tab-delimited-format''' | |
from sklearn import metrics | |
report = metrics.classification_report(y_test, y_pred, output_dict=True) | |
df_classification_report = pd.DataFrame(report).transpose() | |
df_classification_report = df_classification_report.sort_values(by=['f1-score'], ascending=False) | |
return df_classification_report |
To be posted in: https://forums.fast.ai/c/fastai-users/fastai-v2/
Title: Proposed workflow to compare & monitor models using WandbCallback
Content:
Hi,
I’ve been working on WandbCallback
for the past few months (with a lot of help from @sgugger) and I'm very excited to show how it works!
import functools | |
import numpy as np | |
import tensorflow.compat.v1 as tf | |
from tensorflow.python.tpu import tpu_function | |
BATCH_NORM_DECAY = 0.9 | |
BATCH_NORM_EPSILON = 1e-5 | |