Category : filtering

Here is an example of an url. url = ‘https://rapaxray.com’ # logo html_content = requests.get(url, headers=headers).text soup = BeautifulSoup(html_content, "lxml") images_found = soup.findAll(‘img’, {‘src’ : re.compile(r'(jpe?g)|(png)|(svg)$’)}) images_found First I’m narrowing down the list of elements to the ones containing jpg, png or svg in a tag. In this case I only get 3 elements. Then ..

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Here is my jupyter code:- boxes1 = tf.random.normal([19, 19, 5, 4], mean=1, stddev=4, seed = 1) boxes2=np.random.randn(19, 19, 5, 4) and here I have found value of filtering_mask variable box_confidence=np.random.randn(19, 19, 5, 1) box_class_probs=np.random.randn(19, 19, 5, 80) box_scores = box_confidence * box_class_probs box_class_scores = tf.reduce_max(box_scores, axis=-1) filtering_mask = box_class_scores>= .5 finally when we see shape ..

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I’m learning Flask with Sqlalchemy, and get stuck with this issue. Assume I have 3 model: class Author(db.Model): sex = db.Column(db.String) # Male or female zone = db.Column(db.String(1)) # (A or B) class SellPlan(db.Model): is_open = db.Column(db.Boolean) has_discount = db.Column(db.Boolean) class Book(db.Model): plan = db.Column(db.SellPlan, db.ForeignKey(‘SellPlan’)) author = db.Column(db.Author, db.ForeignKey(‘Author’)) Every book has foreign keys ..

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I’m modifying (https://github.com/crclayton/streamer-locator/blob/master/python-wireshark-geolocate.py) a Python script for capturing IP’s and Geolocating in Omegle. However, I use Discord in the same time, so my output gets flooded by other IP’s and then I only get locations from United States, California, Mountain View. from geolite2 import geolite2 import socket, subprocess cmd = r"C:Program FilesWiresharktshark.exe -i ethernet" process ..

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I need to get the following list filtered by the the index number 1 from each tuple inside the list of the list of each exterior tuple, As for instance… I have the following list distances = [(‘highway_bost321’, [0.0, 10.174343253183386, 10.947746706490813, 7.187637514988234, 7.660483562939873, 10.622402335214636, 10.737785768990813, 10.566917715980832, 10.819389772897063, 12.03400784892136]), (‘mountain_0871’, [10.947746706490813, 0.83758544921875, 0.0, 5.838234191502578, 5.363256367154217, 1.3175048828125, ..

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