collie | 高性能批量图片压缩工具 | Compression library

I am trying to merge these 2 dataframes below on the column retweeting_id

I have a simple Dog class that I am trying to store information about in a dictionary. With multiple instances of the class, Im seeing that the values of the dictionary get overwritten with subsequent instances. Any idea why this is happening? Ive also included another variable that doesnt seem to change. I assume this is some attribute that has to do with Python Dictionaries. Any idea how to fix? Working on Python 3.6. Thanks in advance.

I've been trying to learn the beginnings of html and css and as my first task I was asked to make a function quiz with html and css coding.

I cannot get help from the people who tasked me with this as I cannot get ahold of them and I am hoping that others may be able to give me some pointers and advice of what I need to do to get the functions right.

I have only done half a day of learning on this and only have 1 powerpoint on how to do my task but it doesn't cover everything that needs to be done or how to use the coding suggested to get the outcome I want to get.

Here is my html coding for one of my questions:

I have a query regarding the extraction of VGG16/VGG19 features for my experiments.

The pre-trained VGG16 and VGG19 models have been trained on ImageNet dataset having 1000 classes (say c1,c2, ... c1000) and normally we extract the features from first and second fully connected layers designated ('FC1' and 'FC2'); these 4096 dimensional feature vectors are then used for computer vision tasks.

My question is that can we use these networks to extract features of an image that does not belong to any of the above 1000 classes ? In other words, can we use these networks to extract features of an image with label c1001 ? Remember that c1001 does not belong to the Imagenet classes on which these networks were initially trained on.

In the article available on https://www.pyimagesearch.com/2019/05/20/transfer-learning-with-keras-and-deep-learning/, I am quoting the following -

When performing feature extraction, we treat the pre-trained network as an arbitrary feature extractor, allowing the input image to propagate forward, stopping at pre-specified layer, and taking the outputs of that layer as our features

From the above text, there is no restriction to whether the image must necessarily belong to one of the Imagenet classes.

Kindly spare some time to uncover this mystery.

In the research papers, the authors simply state that they have used features extracted from VGG16/VGG19 network pre-trained on Imagenet dataset without giving any further details.

I am giving a case study for reference:

Animal with Attribute dataset (see https://cvml.ist.ac.at/AwA2/) is a very popular dataset with 50 animal classes for image recognition task. The authors have extracted ILSVRC-pretrained ResNet101 features for the above dataset images. This ResNet 101 network has been pre-trained on 1000 imagenet classes (different imagenet classes are available at https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a#file-imagenet1000_clsidx_to_labels-txt).

Also, the AWA classes are put as follows:

I'm trying to create a basic PHP function for a wordpress site that reads over a JSON response from an API and takes the data of each animal to be added to a custom post.

I'm having some trouble figuring out the correct way to parse the JSON & loop over the animals and their respective data.

I know its just my not understanding the JSON structure correctly and I'm not parsing it in the right way - so hoping that someone can direct me on the correct approach.

Here is my Function - the issue at the moment is the loop is not working and i'm not able to get the animals data to populate the fields.

I am working with a large xml file in which I have been trying to extract keys and values. The information in this file is very sensitive so I cannot share it. I started by using the xml library. However, after hours of frustration I discovered the xmltodict library. I used this library to convert my xml to a dictionary (something I am much more familiar with relative to xml).

I have an array of objects

I am constructing HTML as part of a bigger project. The construction works, no issues with that. However I fear that the code is too verbose or that I am not using the full power of BeautifulSoup.

For Example: I am generating a div tag of class editorial that wraps a div of class editorial-title, editorial-image, editorial-subtitle, editorial-article in that order.

Sample HTML-

I have a switch statement that I'd like to replace with an object literal but because multiple assignments are made for each case, I don't know how to do it.