mjamroz

Keybase proof

I hereby claim:

• I am mjamroz on github.
• I am mj23 (https://keybase.io/mj23) on keybase.
• I have a public key whose fingerprint is B3F8 4C13 CAFF C9CB 6690 DD04 A291 DDC4 90ED 883B

To claim this, I am signing this object:

mjamroz

#!/usr/bin/python
'''
    Author: Igor Maculan - n3wtron@gmail.com
    A Simple mjpg stream http server
    
    modified a little
'''
import cv2
from PIL import Image
import threading

mjamroz

davs://poliveira@some.webserver.pt/webdav/someFolder

mjamroz

from mxnet.gluon import nn
from gluoncv.model_zoo import get_model
from mxnet import image, cpu, init
from gluoncv.data.transforms.presets.imagenet import transform_eval

context = [cpu()]

net = get_model("network_prefix", ctx=context, pretrained=True)
with net.name_scope():
    net.output = nn.Dense(4)

mjamroz

import argparse, time, logging, os,math

import numpy as np
import mxnet as mx
import gluoncv as gcv
from mxnet import gluon, nd
from mxnet import autograd as ag
from mxnet.gluon import nn
from mxnet.gluon.data.vision import transforms

mjamroz

#!/usr/bin/env python3
from mxnet.gluon import data, SymbolBlock, utils
from gluoncv.model_zoo import get_model
from mxnet import nd, cpu, gpu, io, metric
from multiprocessing import cpu_count
import argparse

classes = ['Cl1', 'lass2', 'ass3', 'ss4']

parser = argparse.ArgumentParser(description='Batch prediction')

mjamroz

import mxnet as mx
import argparse, os
from matplotlib import pyplot as plt
from gluoncv.model_zoo import get_model
#mx.random.seed(42)
# CLI
def parse_args():
    parser = argparse.ArgumentParser(description='Train a model for image classification.')
    parser.add_argument('--classes', type=str, default=1000,
                        help='number of classes')

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from mxnet import metric, nd


class BinarySelectedStatistics(metric._BinaryClassificationMetrics):
    def __init__(self):
        super().__init__()
        self.positive = 1 # default
        self.num_inst = 0
        self.sum_metric = 0.0

mjamroz

[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
tensorflow = "==1.15.0"
mxnet-mkl  = "==1.6.0"
numpy      = "==1.18.2"
tensorflowjs = "==1.7.2"

mjamroz

tags = [
        {"p": 1, "fav":False},
        {"p": 2, "fav":False},
        {"p": 5, "fav":False},
        {"p": 5.5, "fav":True},
        {"p": 5.6, "fav":True},
        {"p": 6, "fav":False},
        ]

# after changing position in frontend, we applying this function to update tags positions in db: