With the introduction of its RX100 series in 2012, Sony raised the bar for point-and-shoot cameras. As such, it's no surprise that the latest model can do things like capture JPEG and RAW photos at a mind-boggling 24 frames per second. The RX100 V is all about speed, driven by a 20.1-megapixel 1-inch sensor and an autofocus system that, according to Sony, meets and exceeds the requirements of any professional photographer. That may be a marketing hyperbole, but I did shoot with the RX100 V last night and the results are impressive. Especially for a camera that fits in my pocket.
When Sony announced the A6500 in October, it touted speed as one of the camera's main selling points. The company's new flagship mirrorless, which hits stores later this month for $1,400 (body-only), features a 24.2-megapixel APS-C sensor with 11-fps continuous shooting. You can shoot at that rate for up to 307 frames in RAW mode, giving you about 30 seconds of total shooting time in a single shutter press. That's an impressive feat for any camera, let alone one this size. The A6500 also comes with in-body 5-axis image stabilization -- a first for one of Sony's APS-C shooters.
After being announced in September, Olympus' OM-D E-M1 Mark II quickly became one of the most anticipated cameras of the year. The new flagship mirrorless, which will hit stores in December for $2,000 (body only), is loaded with high-end specs. That includes a 20.4-megapixel Live MOS sensor (Micro Four Thirds), a dual quad-core Truepic VIII image processor, 121-point autofocus system and in-camera stabilization. Above all, though, the E-M1 Mark II is about sheer speed, featuring 18-fps shooting with continuous autofocus and autoexposure enabled, or an insane 60 frames per second if those settings are locked. While I've only been testing the camera for little more than a day, all of those specs have translated well in real-world use.
New marketing for Huawei's upcoming P30 smartphone has been caught trying to pass stock images as photos taken by the product's camera. Last Friday, Huawei's CEO for its consumer business group, Richard Yu, posted a collection of sample images for the upcoming phone through his account on Sina Weibo, a popular social networking service in China. All nine ads hyped up the P30's camera by featuring individual images presumably taken by the phone and it's powerful "periscope zoom" camera. However, a few users noticed the sample images appeared to be too good to be true. It turns out they were right.
We find that by and large GANs fail to faithfully datasets. To our knowledge, the only instance of synthetic recreate point datasets which contain discontinous image datasets used for GAN evaluation have been to learn support or sharp bends with noise. Additionally, manifolds of convex polygons (specifically triangles) (Lucic on image datasets, we find that GANs do et al., 2018). Although, we also use polygons as a testbed not seem to learn to count the number of objects for our experiments, we focus on learning a manifold with of the same kind in an image. We also highlight multiple polygons where their number is fixed.