Fakes farzi

Prime Video menayangkan beragam film dan serial India. Salah satu serial India teranyar yang tayang di Prime Video adalah Farzi yang dibintangi Shahid Kapoor. Farzi memadukan genre komedi hitam dan kriminal yang jarang digunakan dalam serial India. Tayang di Prime Video sejak 10 Februari 2023, berikut sembilan fakta Farzi. Yuk, simak bareng-bareng!1. Farzi diproduseri dan disutradarai oleh Raj Nidimoru bersama dengan Krishna D.K.Raj Nidimoru dan Krishna D.K. (instagram.com/rajanddk)2. Serial ini dibintangi oleh Shahid Kapoor, Vijay Sethupathi, Krishna Kumar Menon, Raashii Khanna, dan Bhuvan Aroracuplikan serial Farzi (dok. Prime Video/Farzi)3. Awalnya, Farzi akan dibuat film pada 2019. Karena alasan yang tak diketahui, Farzi dibuat sebagai serialcuplikan serial Farzi (dok. Prime Video/Farzi)4. Proses syuting dimulai di Mumbai pada Juli 2021. Syuting dilakukan di beberapa lokasi, yaitu Goa, Nepal, dan Yordaniacuplikan serial Farzi (dok. Prime Video/Farzi) Baca Juga: 7 Rekomendasi Film Horor Indonesia di Prime Video, Seram Banget! 5. Farzi terdiri dari 8 episode yang berdurasi 42—66 menitcuplikan serial Farzi (dok. Prime Video/Farzi)6. Farzi berkisah tentang Sunny (Shahid Kapoor), seniman yang mengalami kegundahan setelah bisnis percetakan kakeknya bangkrutcuplikan serial Farzi (dok. Prime Video/Farzi)7. Bisnis percetakan tersebut juga memiliki banyak utang. Alhasil, Sunny harus memutar otak untuk mendapatkan uangcuplikan serial Farzi (dok. Prime Video/Farzi)8. Sunny bekerja sama dengan sahabatnya, Firoz (Bhuvan Arora), untuk melakukan bisnis ilegal, yaitu pembuatan uang palsucuplikan serial Farzi (dok. Prime Video/Farzi)9. Selain dapat uang, Sunny melakukan bisnis ilegal itu untuk menerima tantangan dari pemimpin gangster dan polisicuplikan serial Farzi (dok. Prime Video/Farzi)Trailer Farzi yang diunggah di kanal YouTube Amazon Prime Video India pada 13 Januari 2023 telah ditonton sebanyak 36 juta kali. Farzi juga mendapat nilai tinggi di situs IMDb, yaitu sebesar 8,6. Setelah menyimak fakta di atas, apa kamu tertarik untuk menonton serial Farzi di Prime Video? Baca Juga: 9 Film Shah Rukh Khan yang Bisa Ditonton di Prime Video IDN Times Community adalah media yang menyediakan platform untuk menulis. Semua karya tulis yang dibuat adalah sepenuhnya tanggung jawab dari penulis.

Deepfake-detection-challenge🐱‍👤 [Kaggle] Real/Fake image classificationDeepFake Detection (DFDC) SolutionChallenge details:Kaggle Challenge PageFake detection articlesThe Deepfake Detection Challenge (DFDC) Preview DatasetDeep Fake Image Detection Based on Pairwise LearningDeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionDeepFakes and Beyond: A Survey of Face Manipulation and Fake DetectionReal or Fake? Spoofing State-Of-The-Art Face Synthesis Detection SystemsCNN-generated images are surprisingly easy to spot... for nowFakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake FacesFakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and WhistlesMedia Forensics and DeepFakes: an overviewFace X-ray for More General Face Forgery DetectionSolution descriptionIn general solution is based on frame-by-frame classification approach. Other complex things did not work so well on public leaderboard.Face-DetectorMTCNN detector is chosen due to kernel time limits. It would be better to use S3FD detector as more precise and robust, but opensource Pytorch implementations don't have a license.Input size for face detector was calculated for each video depending on video resolution.2x scale for videos with less than 300 pixels wider sideno rescale for videos with wider side between 300 and 10000.5x scale for videos with wider side > 1000 pixels0.33x scale for videos with wider side > 1900 pixelsInput sizeAs soon as I discovered that EfficientNets significantly outperform other encoders I used only them in my solution.As I started with B4 I decided to use "native" size for that network (380x380).Due to memory costraints I did not increase input size even for B7 encoder.MarginWhen I generated crops for training I added 30% of face crop size from each side and used only this setting during the competition.See extract_crops.py for the detailsEncodersThe winning encoder is current state-of-the-art model (EfficientNet B7) pretrained with ImageNet and noisy student Self-training with Noisy Student improves ImageNet classificationAveraging predictionsI used 32 frames for each video.For each model output instead of simple averaging I used the following heuristic which worked quite well on public leaderbord (0.25 -> 0.22 solo B5). t) # 11 frames are detected as fakes with high probability if fakes > sz // 2.5 and fakes > 11: return np.mean(pred[pred > t]) elif np.count_nonzero(pred 0.9 * sz: return np.mean(pred[pred import numpy as npdef confident_strategy(pred, t=0.8): pred = np.array(pred) sz = len(pred) fakes = np.count_nonzero(pred > t) # 11 frames are detected as fakes with high probability if fakes > sz // 2.5 and fakes > 11: return np.mean(pred[pred > t]) elif np.count_nonzero(pred 0.2) > 0.9 * sz: return np.mean(pred[pred 0.2]) else: return np.mean(pred)AugmentationsI used heavy augmentations by default.Albumentations library supports most of the augmentations out of the box. Only needed to add IsotropicResize augmentation.def create_train_transforms(size=300): return Compose([ ImageCompression(quality_lower=60, quality_upper=100, p=0.5), GaussNoise(p=0.1), GaussianBlur(blur_limit=3, p=0.05), HorizontalFlip(), OneOf([ IsotropicResize(max_side=size, interpolation_down=cv2.INTER_AREA, interpolation_up=cv2.INTER_CUBIC), IsotropicResize(max_side=size, interpolation_down=cv2.INTER_AREA, interpolation_up=cv2.INTER_LINEAR), IsotropicResize(max_side=size, interpolation_down=cv2.INTER_LINEAR, interpolation_up=cv2.INTER_LINEAR), ], p=1), PadIfNeeded(min_height=size, min_width=size, border_mode=cv2.BORDER_CONSTANT), OneOf([RandomBrightnessContrast(), FancyPCA(), HueSaturationValue()], p=0.7), ToGray(p=0.2), ShiftScaleRotate(shift_limit=0.1, scale_limit=0.2, rotate_limit=10, border_mode=cv2.BORDER_CONSTANT, p=0.5), ] )In addition to these augmentations I wanted to achieve better generalization withCutout like augmentations (dropping artefacts and parts of face)Dropout part of the image, inspired by GridMask and Severstal Winning SolutionBuilding docker imageAll libraries and enviroment is

Using xda app-developers app #16 Argh okay got the cord. Controller works fine as a game pad. Works flawlessly on ShadowGun and Dead trigger which both have game pad function built in. Can not get it to connect via Bluetooth still..Tried exactly what the video showed and such.Only thing I can think of is the controller could possibly be dead? Which I doubt because all the trouble shooting I've been doing (Connected to PC for an hour trying to get motion joy to go, connected to my phone the past 15min, I even plugged the USB into my wall adapter for my phone to see if it charged. Lights just blink than go off after like 5minutes. That mean its charged or what? Don't have a ps3, does it need one to charge? :/Sent from my GT-I9000 using xda app-developers app Is this an OEM Sony Controller? Chinese fakes aren't going to work. Same thing with Wii remote clones. #17 Is this an OEM Sony Controller? Chinese fakes aren't going to work. Same thing with Wii remote clones. I think its OEM? How would I go about checking?It was this one:www.amazon.com/gp/aw/d/B0015AARJI/ref=mp_s_a_1?qid=1341986008&sr=8-1But it wasn't the Amazon seller by default when I got it, it was a seller named Wireovia, they've got 4.8 stars with 3559 ratings so I didn't really think much of them being fakes? Price was $39 though I don't see them in the list of sellers now, but they were default before.Also the controller didn't come with a cord, is that a sign of a fake or is that the same with Sony's official?Sent from my GT-I9000 using xda app-developers appEDIT: Well crap. I was looking at "How to spot a fake" guides and they mention two definite ways of telling, one being the battery inside is different and another being there is no screw under the sticker on the back on the official, whereas the fakes have a screw under there.Now mine has what looks to be a screw without a screwable head on it under the sticker. Maybe the new fakes have the head of the screws taken off because they knew it gave it away? Idk. Going to take it apart tomorrow and see the battery.Anyone know if its possible to return an opened item? Purchased June 29th received it on July 3rd. It came with an amazon lable saying "Returning is easy, go to our website blah blah blah" but mentioned it being unopened. Hmm.. Last edited: Jul 11, 2012 #18 Call Amazon's 800 number and tell them this isn't a genuine controller, and is giving you pairing difficulties. You don't have to say what kind. Ha ha. You should get your money back