4/30/2023 0 Comments Openexr viewer![]() ![]() ![]() Given the extended range nature of the input imagery, we need a way to control things like gamma and exposure, also in case we want to drill into details at particular dark or bright regions.ĭeep learning is commonly driven by a loss function, which in our case is often a combination of image difference metrics. ![]() To inspect the training data that gets fed into our deep neural networks, to view error maps on the validation, and generally being able to judge the visual quality of our results, or enable artists to properly judge these, we require a little bit more than a cut-out thumbnail of a jpeg image within, for example, Tensorboard. These can be feature buffers from rendering, such as depth, normals, or alpha masks and provided as separate inputs so you can quickly determine for each final color pixel the depth or normal that goes along with it. ![]() Additionally, the imagery is typically of high dynamic range, stored in the OpenEXR file format as 16-bit or 32-bit floating points.įor many applications, we also need to inspect other aspects of images apart from the final composed color data. When it comes to images, this typically means we deal with higher resolution, 1080p at least, up to 4k and even more. As we are part of the Studio segment of the Walt Disney Company, we naturally deal with production assets. ![]()
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