Sponge mains

2021.10.17 09:24 hakoyuki Sponge mains

I love spongebob :]
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2021.10.17 09:24 OnePhotog Fuji discontinues velvia 50

Fuji discontinues velvia 50 submitted by OnePhotog to analog [link] [comments]


2021.10.17 09:24 Remarkable_Duck_2816 Former Revature associate bought out by Infosys, thinking about quitting a few months in. Anyone know the best way to approach this?

A few days ago, Revature sent out an email to those of us who were bought out by Infosys saying we would need to relocate to our assignment location by this Thursday or else our employment with Infosys will be terminated. Naturally, being given one week to relocate caused a panic among those of us who received this email. Many have reached out to the higher-ups at Infosys to clarify how seriously we should take it, but there has been a lot of mixed messaging with some saying do exactly as it says and others saying don’t lose sleep over it.
In my case, I am reconsidering if I am even in a position where it is feasible for me to relocate across the country at all (currently on the west coast, assignment location is on the east coast), let alone do it in a week’s time. This coupled with the fact that I despise what I am currently working on (RPA) has me thinking about leaving Infosys altogether even though I have only been here a few months. I am just not sure how to go about it.
On the Revature end, despite no longer an associate of theirs, there is still the training agreement addendum that I would be technically breaking that says I am still bound by Revature’s 2 year agreement with the same breach of contract fee. I have heard this is mainly a scare tactic but I was wondering if anyone could share their experience with this.
On the Infosys end, I am not sure of the best way to cut ties. I am currently on project so it is unclear to me whether that muddles things and if there is some kind of expectation of me to complete my assignment. I have had some people suggest to me that I should properly resign and others who have told me to just ghost them. (How would I return their laptops if I ghost them though?)
I know my situation might be a very specific one, but if anyone else has been through this situation or a similar one before, I would love to hear how you went about it.
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2021.10.17 09:24 BlackSpy1244 My cozy co-op starter base

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2021.10.17 09:24 thegoodfellasfella Truck dog Henry in my gen2 taco

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2021.10.17 09:24 pleasedontfollowm3-4 Renée Murden

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2021.10.17 09:24 MajorRasta Dauntless 3rd 2 Unseen Gift Locations 1.8.0 2021 HD

Dauntless 3rd 2 Unseen Gift Locations 1.8.0 2021 HD submitted by MajorRasta to AdvertiseYourVideos [link] [comments]


2021.10.17 09:24 Few-Shirt-6463 Fire hou track

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2021.10.17 09:24 Rajajikiaayegibaraat Simran Kaur (new)

Simran Kaur (new) submitted by Rajajikiaayegibaraat to thighzone [link] [comments]


2021.10.17 09:24 camelCaseSensitive For when you're sitting at your computer at work but want to play guitar

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2021.10.17 09:24 broclipizza This DeviantArt Rule34 artist accidentally predicted the ending of Dread 4 years ago (SFW)

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2021.10.17 09:24 yasslad What is Art?

What is Art? submitted by yasslad to AcousticOriginals [link] [comments]


2021.10.17 09:24 VanCityHunter Question about difference between easy and normal modes.

Aside from percentage chance to retain weapon/gear and going to the PvP area if you beat the run, is there a difficulty difference like the enemies have more armor or they do more damage? Does it just come down to the gear retention percentage?
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2021.10.17 09:24 suave-cocobutter 24th PJ

24th PJ submitted by suave-cocobutter to JSOCarchive [link] [comments]


2021.10.17 09:24 jerrywilliams584520 The best return these days

The best return these days submitted by jerrywilliams584520 to ethtrader [link] [comments]


2021.10.17 09:24 toanthrax Any estimates on Pro RWD lead times?

I reserved today after a test drive so would like to know how long of a wait an I looking at? Any info much appreciated! Thank you!
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2021.10.17 09:24 TheTitanOfReddit Good morning everyone how we all feeling today?

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2021.10.17 09:24 Samsonly Uptown Street Racing?!

Can anyone explain to me, or give some sort of insight to what the hell is going on between the hours of 1 and 3am each night in Uptown?
I feel like my bed is on the infield of the Daytona 500 and I can't find ANYONE talking about this.
Last night it sounded like someone was doing donuts in various lots in South Uptown for over two hours. And tonight it's literally non stop engine revving outside.
Where is this even happening? (Sounds like Lyndale, South of Lake St.?).
Someone is going to get killed out here (either a drunk pedestrian, late night driver, or one of these absolute idiots causing the mayhem), and yet I can't find a single post, news article, police mention, or even tweet about any of it.
At this point, with the absolute uselessness of MPD, I just want information so that I know where to avoid if I'm out past midnight, because I don't see them or anyone else doing squat about it.
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2021.10.17 09:24 Present_Ad2140 What is someone missing if they graduated college and never made a single friend or parties because they struggled with academics?

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2021.10.17 09:24 DiamondhandsNicky NoFap- 5 Benefits and why quitting porn and masturbation could change your life.

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2021.10.17 09:24 DandPRemakes Lets GOOOOOO!!! definitely using this to start my alt.

Lets GOOOOOO!!! definitely using this to start my alt. submitted by DandPRemakes to MLB_9Innings [link] [comments]


2021.10.17 09:24 BobTheRedditBoi p a i n

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2021.10.17 09:24 ZoobBot 180139

This is the 180139th time I made this shitty comment. I hate this job.
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2021.10.17 09:24 YewLoke Segmentation cv2

Segmentation cv2 Good day all, I was doing a simple project which need to segmentation region in a sequence of frames of a video. I tried with adaptive thresholding method and some other edge segmentation techniques along with some morphological operation but the result was not good enough. Could anyone please suggest some better segmentation techniques for this problem?

Thanks in advance.
video = 'water_pond.avi'
plt.style.use("dark_background")
cam = cv2.VideoCapture(video)
while True:
success, frame = cam.read()
if frame is None : break
kernelsize = (5,5)
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
blur = cv2.GaussianBlur(gray, (5,5), 1)
binary = cv2.adaptiveThreshold(blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 25, 10)

se = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, kernelsize)
dilate = cv2.dilate(binary, se, 2)

contours, hir = cv2.findContours(dilate, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
for index, contour in enumerate(contours):
area = cv2.contourArea(contour)
if area < 200: continue
cv2.drawContours(rgb, contours, index, (255,0,0), 1, cv2.LINE_AA)

plt.imshow(rgb, cmap = 'gray')
plt.show()
Result
Original Image
Expected Result
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2021.10.17 09:24 YlebRotkiv Anything is real

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http://cyber-sound.ru