{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Augmentation on multiple CPU cores" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Augmentation can be a slow process, especially when working with large images and when combining many different augmentation techniques. Take a look at the [performance documentation](https://imgaug.readthedocs.io/en/latest/source/performance.html) for some lower bounds on the expected single core performance using outdated hardware.\n", "\n", "One way to improve performance is to augment simultaneously on multiple CPU cores. `imgaug` offers a native system to do that. It is based on roughly the following steps:\n", " 1. Split the dataset into batches. Each batch contains one or more images and the additional data associated with them, e.g. bounding boxes or segmentation maps. (Splitting the data can also be done on the fly using a generator.)\n", " 2. Start one or more child processes. Each of them runs on its own CPU core.\n", " 3. Send batches to the child processes. Try to distribute them equally over the child processes so that each of them has a similar amount of work to do.\n", " 4. Let the child processes augment the data.\n", " 5. Receive the augmented batches from the child processes.\n", "A few important points can be derived from these steps. First, the data has to be split into batches. Second, combining all data into one batch and using multicore augmentation is pointless, as each individual batch is augmented by exactly one core. Third, using multicore augmentation for small amounts of data can also be pointless as starting the child processes might take up more time than simply augmenting the dataset on a single CPU core. (Though, you can re-use the child processes between epochs, so it might still pay off.)\n", "\n", "**Important**: `imgaug` offers multicore features and it is recommended to use them for multicore augmentation. It is **not** recommended to execute `imgaug` in a custom-made multicore routine using e.g. python's `multiprocessing` library or by using the multiprocessing support of some deep learning libraries. Doing so runs a major risk to accidentally apply the same augmentations in each child worker (just to different images). If one still decides to build a custom implementation, make sure to call `imgaug.seed(value)` and `augmenter.reseed(value)` with *different seeds per child process*. Generating debug outputs per child process is then also recommended. Messing this up is easy and hard to even notice." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example: augment_batches(..., background=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The easiest way to do multicore augmentation in `imgaug` is to call `augment_batches(..., background=True)`. It works similarly to e.g. `augment_images()`. The difference is that it expects a list of `imgaug.augmentables.batches.Batch` or `imgaug.augmentables.batches.UnnormalizedBatch` instances. Each of these instances contains the data of a batch, e.g. images or bounding boxes. Creating a batch is trivial and can be done via e.g. `batch = UnnormalizedBatch(images=, bounding_boxes=)`. Another difference to `augment_images()` is that `augment_batches()` returns a generator, which continuously yields augmented batches as they are received from the child processes. The final (and important) difference is that `augment_batches()` currently does *not* use the random state set in the augmenter, but rather picks a new one. That is because otherwise all child processes would apply the same augmentations (just to different images). If you need more control over the random state use `pool()` or `imgaug.multicore.Pool` instead (see further below)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's try to use `augment_batches()`. First, we define some example data." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import imgaug as ia\n", "%matplotlib inline\n", "\n", "BATCH_SIZE = 16\n", "NB_BATCHES = 100\n", "\n", "image = ia.quokka_square(size=(256, 256))\n", "images = [np.copy(image) for _ in range(BATCH_SIZE)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we combine the images to `UnnormalizedBatch` instances:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from imgaug.augmentables.batches import UnnormalizedBatch\n", "batches = [UnnormalizedBatch(images=images) for _ in range(NB_BATCHES)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As the data here is already well normalized, we could also use `imgaug.augmentables.batches.Batch` instead, which has the same interface. If e.g. we had keypoints and these were provided to as lists of xy-tuples, `UnnormalizedBatch` would have to be used and it would convert these lists to `KeypointsOnImage` instances." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our augmentation sequence contains `PiecewiseAffine`, which tends to be a very slow augmenter. We further slow it down by using a denser grid of points on the image. Each such point will lead to more local affine transformations being applied." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from imgaug import augmenters as iaa\n", "\n", "aug = iaa.Sequential([\n", " iaa.PiecewiseAffine(scale=0.05, nb_cols=6, nb_rows=6), # very slow\n", " iaa.Fliplr(0.5), # very fast\n", " iaa.CropAndPad(px=(-10, 10)) # very fast\n", "])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we augment the generated batches. Let's first augment without multicore augmentation to see how long a single CPU core needs. `augment_batches()` returns a generator of `Batch` instances. We can then access the augmented images via the attribute `UnnormalizedBatch.images_aug`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Augmentation done in 151.40s\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import time\n", "\n", "time_start = time.time()\n", "batches_aug = list(aug.augment_batches(batches, background=False)) # list() converts generator to list\n", "time_end = time.time()\n", "\n", "print(\"Augmentation done in %.2fs\" % (time_end - time_start,))\n", "ia.imshow(batches_aug[0].images_aug[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Roughly 150 seconds for 100 batches, each containing 16 images of size 256x256. That's about 0.09s per image. Not very fast, the GPU would most likely train faster than this. Let's try it instead with multicore augmentation." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Augmentation done in 81.32s\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "time_start = time.time()\n", "batches_aug = list(aug.augment_batches(batches, background=True)) # background=True for multicore aug\n", "time_end = time.time()\n", "\n", "print(\"Augmentation done in %.2fs\" % (time_end - time_start,))\n", "ia.imshow(batches_aug[0].images_aug[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Down to 80 seconds -- or roughly half of the single core time. That is already much better. Note that this is on an outdated CPU with 4 cores and 8 threads. A modern 8 core CPU should benefit even more." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Batches with Non-Image Data\n", "\n", "The example above only showed how to augment images. Often enough, you will also want to augment e.g. keypoints or bounding boxes on these. That is achieved by a trivial change when creating `UnnormalizedBatch` instances. You do not have to worry about random states or stochastic/deterministic mode in this case. `imgaug` will automatically handle that and make sure that the augmentations between images and associated data align." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's extend our previous example data with some keypoints." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "BATCH_SIZE = 16\n", "NB_BATCHES = 100\n", "image = ia.quokka(size=0.2)\n", "images = [np.copy(image) for _ in range(BATCH_SIZE)]\n", "keypoints = ia.quokka_keypoints(size=0.2)\n", "keypoints = [keypoints.deepcopy() for _ in range(BATCH_SIZE)]\n", "\n", "batches = [UnnormalizedBatch(images=images, keypoints=keypoints) for _ in range(NB_BATCHES)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now augment the data in the same way as before:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Augmentation done in 138.25s\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMYAAACPCAYAAAChzKT5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOwwAADsMBx2+oZAAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOy9WaxtW3rf9RtjzH61uz379LetvlyOjQ12nCiAUZCREI0UCcFTHngAJCTkFxQCWALRJcJIBCFeQIqIFBQRCR4iS5Ed2RBju2yXXeXqb3fuaXe/utmOhocx51xz73PurVu4fJ1jziftvbo555prjK/9f9/4hnDO8Ype0Su6SvJP+wZe0Sv6J5FeCcYrekUvoFeC8Ype0QvolWC8olf0AnolGK/oFb2AXgnGK3pFL6BXgvGKXtEL6JVgvKJX9AJ6JRiv6BW9gF4Jxit6RS+gT10whKdfEkI8FkJshBC/LoT40qd9H6/oFX0c/WlYjF8E/irwl4F94P8GfkUIMf5TuJdX9IpeSOLTLiIUQrwH/LJz7r9rXwfAE+A/cM797WvHhkBw7RJjYP1p3Osr+jNLCXDpPob5rzPdnygJIWbAa8Bvd+8557QQ4veBPwf87Wun/DXgP/nUbvAV/f+JdoGLj/rwUxUMYNo+Xl57/2Lw2ZD+c+C/GrxOgHOAL/9L/woSL/BSPu8RCiFwztEphe5RSolzrj9HKLE9pz3O2e0bSkp+53/9e/0xP/uXfhqjLdlojAhCjNH8wi/8Av/cv/DPkyQx63VBvlmzKUo+ePSYWsDF+YLFpiJIRvzmV3+Tuzdvc//WTW4dzAjDmCSK+NrXv8HZaonGsd4ULFdLiqpEKgkCnANhIQxCojBEBIqjgwP+7n/xNwD4hX//32W5XqK1xQHGaLSzWGfBgdOO7pdKqZBS4ZzDWgsIhACpFBKBYztu3dj54yzW+ufd+HZj7a8h+uOHurh77ozpbuDKPA2/50XPt9d0CCGunPPc8c7BCwyBEwJnLc4Yvv/r/wCgfO6gAX3agrFsH+fX3t8BHl0/2DnXAE33ejggUkn8dPDCwfKvXTtOHzGoQnjG8yLh/1sH0o9tFIXMx2NIt6dMpmPqqmE8ypjuHHByesJ3v/c9bt29yz/z0z+BiSpCOcJZwyxLCZKENBwxWtecLzfc2D3itZv3WV6cc+crX8BpQxKFfOEzb/Pe48c0wOnZGY1uaKwhiiJUEFAUBVEYcvvmLWbzKZ9943WyMOLvtvf2pS98nmenZ7z//odsyhJQBEicAIfDKnqGFlIhlfInWot1zv96Ibbv8yJGdRhj0LpuBQuEACG6MeyEqGNOh2gFTUqJC4KrwuREq9rcle/YPhf96+v3c53kQFAZyIjo7guHcTXiBUr0RfSpCoZzbiGEeB/4KeA3oY8xfpzn3aiPJeG2Q3qd6Yfa7CPuoz1+KGwCa2yvbYIgZJRk7GTZlXObqiQKI+JAobUmyzIeP37C137/D/jc23cxWlOVDWEguHnjEIdklEl0/YwLu+RwZ5/ASSZxRigl09mY999/j/u3b1Eaw2pTUBcFp1JyuLdPXpXs7+/z6OFD3nrtdb74+c8zG6dMpOLRgw/6+/ri669ztHfAex98iHYW5YxnSneVoba/m56xceBZ9HnlIgDbHcdgvNzW+r5ghOkZfMDo3Rz1VhyHYCtUiPY85wB51eoL197zRyi5gRB01/Mft9bLCaSQOGH5JPRpWwyA/wH4RSHErwLvAP8R3ir8/R/mIr32a814N2DDydqadvrXQ+ERQoAduA3O0imq+Tgh1TXv/fZv8Rd++idxpsI2hg0LrIBqUpI0lvl8B+csi8tL/tGv/RZhKNBWc/fuXcIwRTea2d4udw5SHr/7lJ/68o/htEW5XcrVivloxN7eHmkEh6OYOztzDmdj9mZzLs7PCdMMbS1v/vRtfuHnfpbf/t2v83tf/Rp7swQlJb/8N/8mtS5YT97BGksQKWQlkEYgEBjrGcG7RxZjnWfIlukF9C4pzmLtdS3tz966T7RnuHa8tmNqreWj1dHWCgg6q+ReIFjd9dxg3vx3CuGtj5BicL1W6NxWKHrLI10vmDiBIMS46mPucEt/GoLxN4AJ8A/xccVXgX/ROffHQJq2WsQNR7MfdHcl3hicdkWj9acC9/b3WTx8hNANaSqpCocMFHGc8eziHBEmhJnl8vKSMAyxxvDk6QnT2ZjJZMxqtUGbJVk2Itisefz4IU+fPObea68znkypipIoGiMQ7MymaFuyN5/hnCDLEt64d5/3P/iA0XSGlBKtG9797nt89bd+l91JSKBi0gBcU/Ls6WP26pIwy7h/dIMyz6lqzdYt6XSoF3xrLKigt7bDcfGxxIv9++1fG7cICTis8SbFWnvd+7lyjX7Qr1mm7nOB6OOpTiD9W7I1JG7L9FwLJURnGbavEa593blt9kVf/UL61AWjhcj+4/bv/zO9KKbYCgetZ/vcd39k4DY8OotjjmY7nH7nu+zszKjyM7Iko6w1CNjd3yfLZuzvH9A0jQ/qnOBiucJYRxgmWHsJAppGs1mvOT4+5ujmEY8efEAYJUgZcOv2EXVdYa2mrgqMMUgJWTZmkiXcv32TOB0hpKTYbPiN3/vHJKpiNBpRFzkqDFgvLtB1hakrRpMJe/M5OIm2W1di+zs917mBBbDWtsLQWVHX65Shsrn63Afs0D4KcHZoEQZjvVXY/pOtlD6vrK5NjXPuOTn6KDe5f0c4nHU4rPfMEP7e8OjFi+b/RfSnYTF+JNRNJgzcomuD1vnQW8DCqxRrtwhVj2i18zVJU37yS1/k4Xe+RVOuca6mKjW50TghiZOIt994CxXETKYzLi4uyDc52jru3b9DGASsNxvyk0ukEFR1TV3XTCYTNus1eVFRFCVHR0f8wddgPB5TVzVSQJwEODRJErO/t0ecZHz/e485OT3nvXfeY3eesjOfsby8ZHH8BNs06KZhMp8hnKBo4MPcYRxY55DXmBB8oC2EwBiDUtc1cRdMt+fYgSXBeq3bjaFrXSu8Ru/dLNfb4Hb8u/c9MuSFw9AH62zRMmsHVr+N/64iZFsp6dA2EF7oXIcqgsO0kirBdIJhkVKB/Sc3xviRkGsRj/bFdoCvxRVXhYJeKPrrdNaiZY75ZEyqFIvLU5I0QjeOLJtgLIRRSC0iVqscR06ajRFCcnB4A20deZ7jrEEJOD8/J45jxuMx6/WK5cIyGo3R2lKWFVJKzs8v0FpjdOs7LDVJ6hGoqmqwIuThgxOWi0sCCXm+QtcNuq64vLhAtT83iROSJCVOUsx65S0CDtn/fs+ZVyHUrYJwXWwFW1fIDcamHz/bj+nWZaV1f66q9itCcfVNz9QDyzK0CM62SJWjD8avzNg15Mn6yR/cdnvzXaBuOz5pgYiPjYK29NIKxtDEOhw/6Pda51DXLErnTnQUhQG78ynC1CRJRBhKdKVQTmFaP7puBGEYI6RAysC7RSogjiSbzQbdNKRJ1Ae9nTU7OTllsymJ4hhjLBcXF3zxi18iS1PyvEAIxWq14PIyZ2dnxGqV8+xsw/pijdEFQQhVZUmjCNuUGKOx1pCmMePJmNl8h3A0pX7iod6e2XrHe/u7O61srWkPsQMAQrbvuSuP3aWE2DIeWHBB/6EdTEqfE2oV2BYIsW080UcKV4WnPdv17/tYYQi7dkzu76ADhPFuFA7RxUDdPXQCLrzl+CT00grGdf90mFwaUmdFnHXYVoU653NMzokrKJYTIcfLJa6pUE5Qr3LqcsOqqMjzhsZAOt9lZ3cH6xynZxdYoaiNI4lDwDGaTLHOEEQpRa1ZH5/z+OEpaZqwOFkQRzFSWPL8jIcPH3F0dETTaJq6IU4y8pXmwwfHSCFZ5Q2hAFMXOCLGWcZyccLDB+8RCcfh0QE7uztM53PiLGW6MydLEqIg8BYHENJeGRcfVziktL1W78m2LlI3Zq6NN7B9DCFl68bQMrZzgPH8u8V+r+gpB8/NlXVDBhVbC9G7YmJ79rUYsDvGIr3LZMFK43Fltz2ys2KuQy6FxTT6Y7hqSy+1YIgrYPzzgw/DyfNmdXus6HHx7tyyKjk9P2fn9i2KvEDokrIo2OQ1ZaUxSGLr+KNvfZsbRzfRWpKMYuIkI4oVdV1TVhXrzYrz83OctUghWK4KRBDjRIiMUwIcVbnBCaiaCtNomsaQZoI4SdksL0kixThL2NuZsVzF5FXD8bNHPH30gPXigq98/rPcu3+PJImpnEM3NVEYMp9MiE/OKZXCmee1Y6dQrBU9ZNtyGX1MLeWWyfHCYbugfcifOJ//cKJ3R/0H4mPRn+uJwyu5DNxzym14znBendUepu3m0bkXfq0YWopP5km9vIIh6IK1rdmGj7YcrhUgwfWJ6QYOsJa6qrlcrnnrjdd5+v472EJhLKgwRMoAIQPWRcXFYkOWzeic7DhOaeoa5xxJOmKTP/YJJWuxUlE1Hu5d5TWmKZEYGu1YrwuUgvFoRBSFVMYRZ2MiJZFKkGUpSgnccsmzIkdYw3iUcevuPeY7u+SbNVIKAqXIRhm78zk7s0vqxrDZbBCDRG8XyA4DbdfngLZKRLCtGPAneqjzCtO5bhbaBzfEAbeu7TYpdxU57Mhah8BsDx64UMM8VHfKFdAFWvfp6jwPox3bxp79b+zKUn4AvZSCcfj253rM3DnhtZnwVT5D3SPBlysI0IMBtXbrLgghkJ1kSBBScbkpKPb2uPn2F9hZL7hdVpycXXJ2mfPWW5/n8dNnaAtOSKJQ0dQlm42gbAxPnjzDCcls95DpZEbTNOwcBqzzksZonj55QpQEjNIx3373ITcODzg6PCCxgtV6wzLPyWZ7mFqTxApwRGGAcppZlrL/1ts4KVBhzKMnxwhhuHPvDjsHc8bTlCxNMXVDWZTeZRpa0e5fC99YC0L4+qcOGr0Oh3po1n/mROu7d/AtAW6QQLwSB1wpvQFMq7MH7/eJwUFAPfz+TvH5+7jKAx9X2dB93inDTljQ5s82KjW7eWuAgrg20QS2dY8YDIoc6JMrQfpggrogUCBJkoSD/X0qbTic7lAXG6TSKCVIkggQ7O3tcnp2hpQGYxvyvGCxWpJNd1HRiLqqCMOUxljCJOHGndsgAzZ5zvnlJdPpmJtHRzx5+D6bynFykaPriiQJkUqitfb5EdewWSwJlGC9uGS+s0cySnFAbSxCKUbpiDAMmc53me3sc3z6BxTFhlBAEAVUrtn+Tmf738ogIB4MQi84Ah9LdPCsw/buyvB6/lJdfmR4uasxAW77vhiYMe/WdSBIm4S7duqLCg23LnI3nS/wFASI9r467+6TZTFeUsGAbmo9bWtkBia8dRGsGExKG+B1eLcYnOYf2ipSB0kUkSQJMgjIixyjG6QEIWEyzlivL5jPxqggpChLqrqmuVwghSBL0rZQLySOU/b35pxdrjHWMplOwDm00UynuzgRkFcO62pujiZkaYQ1jhpLFKVoHSGUYzSesr+3i5OCfLOmztct9Ntw/7U3uf3m22ysIFSCvfmUptGsimoQ+G5zDwBCqH4EnTNb94qOj+3A7Wr/OkvR+/nWW9kORbIDJnbyeeEAhngUDBi9C/TtVcbu5udFjD9MOr6Q4f2PH3h914L4j6GXUjDcEDsXeHehnxTXJ4fsNQ3XG3yfq8I5UNKfY3E4a1mt12Atd3c/y3Rvn2wyQljL3s4OD56e4bBo3WAaTbFcsVhtqI3BSUlVL9k/POLg6CaoBKUCzs/OOD2/QIUxxlo++7kvUG3WTLOU6ZsZ1jhGoxFPnhzz5DxHqYp55MAaHl1ecOPggGSUsLN3gyePPwTXYOqSySjj9p2bvPX2m3zuK1+hqCrK80u+//AR7z18hLaaIayJE1jt2UcKCar93c4LTKdOt4mzgct0TdVeZ07r2ipa4Xq3SNhgy4Su1dgCBLKNK4RPGgr6yg3T+v/DWEQIf92uFsr2QsoVy9K5x1uItyuAbC2G9cJj7J/hGKPDpLd2w13RLt69erEJ7s9/gY5xgLWGdZHz3Q8+BKl4+/4dRBiwOt8QhhFFWbBZ51wuNyADVnlOnKQEQYiKMrLxlCQZI4MUISXTmUU3DUGgmI1jdnf3qKsZRjdMRiOiWFFVBbPpiLquWK/XqPGMKJCoULEqS1QYkm9yJtMJuqmohOLWnRvcun3Azds3WBcF7zx4zFe/8R0+ePSMpjFX/AbnHM506A+DINe15SxuO5T9uHZM1hbuDcfRda5Qm6vZBi5XxntYTtLZo96gtJztyzdaK+W2ELIQfv1En4rvb2CLLvWASo+gDe5h4Nr1VtC+eN5fRC+lYFwxyGKbue785i4MfA7dwL/pNZTbljS0UaloIUmtNYui5MNnz2iqgjs3bvK9b3+feDSnKSqW6w15WTJljopissmM0WTCeL5Hko6QKsSpCGs1k1FGHAdEUUAURVgky8WSo1s3yNcVo3REMkrR+pSd+YTxOGW1XmBNw3wyInBQN5rJeEJZLnjy7IzX7t5mNh9xeOOIZDThm+895Kvf+DZf+9b3qRvTam2HbHMWfni8WHQRA66thu3cpVYD+6UVnbvVj9oVNGvLe626b9/sxKdP4A3yD1cC7V5+hoWJ2+/rv8b60nkhJUgvfKKD3Dt4tmUE68x2HmnndTu5bRL9I1yuF9BLKhgDakegmxbnRC80bjAwPYw3gCj96a6fyD5IFKCEz5RnWcZiU/DG25/jD/7wW+wc3kIFESqMMA6CMGYymzOeTigbi4ocRjfUuiFLAg52Zzx+8pgwiDDGcOf+XaqypLFgRchiXSGcRgUB603O6dk5X/jiF6jrnGK9YmeSoY0hHY1Jsoy9vQNGccDNW7fIJnPysuF3vvEt/ug777JabVoUyZO1FiskogUlbKuBBW3xoLO+7L5fWATIYMt4/RC7a4LRMhui1cLDY/0ngxC5dWXsNu901bz7MzrX2A3mpH2Otd7audYTcEMLto0Vt/GQoCumF51V8WyC+QFoVkcvpWBY67yv2Jnd9v1eOOjMu3/WlSF4CyMxToMTSKlQAsZZxt5sztHBLqNxRhRHvPvhUxaXC37n+I/4zK0bOA1f+vJXePDkGGMdo/GY9aZgMtlFiIh8Yzi/WFBXD0Ba7r3+OSbphEobFqsNd26NmU2nLC8vmO9OWFxcUGnB7s6M2WTO44ePabRAWMXJ8QXZOKOxIV//xjeZjFMEmr35nKP9A9IkIh3t8PDJikfPzvn2tx5wenbJuljjhEGJAGM8E8i+2pR2teIgF2C5IhRi6LKwdT87y9oNqTFmW7jJQIZajb1VOVzR0lvhGszYQOCGzN4dL0S7psQZVCvk3TyLLtPdenddHOOQ+CphAcb2rpYQDvkJTcZLKRi96W+fu3ZCfhAJIfqVf21EgRAKIUFbzfH5OebsjEYbLi4XKAejNKXIK/J1wdGNm6TZiLysCcOAolojgpBGW7A1y/NTokgwnmRYXbLZrMmyMVEUEQYKhGR3vksQRjx48tgvZKprHnzwPlGcMB5n6DJnVSwRoWLv4BChaySGoqz9MfM9RplHvLJsRBCumCYR7M44DHZ4eHJKXpQtBCoH5eBgjEXIq0m2IUrTFd117tEVJu4qBRh+dm18O/jcbYWiz0kMhWz4/dYNrskVIe2u07taraD763nQpbP0wnjXEQGmRcucFM/lcV7UH+BF9JIKRveEFkkRA7G4PmHuimXprElnrmvdcL5oOF8ukahtUOcsSRiRxglZNiYQCccnJ9y4fZ/T8wuEVGjrCJOYqi5ZnJ5x9uxD0ixBiF2mOxU2NQglmUwmKBWQzaasF0tu7M657Y744OEpJ+dnLC4v2D+6yWy+w3Q64fz8DIng7PQMoxtuHx1ysTzHAsenx7z59mukowlRaikKzY9/5Uu88/Ah73z4kKpuMMYjUt1guevM1sZevesyYJ4OYdqOc3e8t7zW+vyJte6Kiu98+m1csc2eD2ekF9g+KHd0dSbd8XQoVGfAnENYX/re6UDnuqy5/1y2At/6bQhrfWwiRA8BW65mzj+OXk7BsLaHZ611/SIY0ZYHXDeXXbCppDf/tdkW1gnUFrUYxhrCFxgGKuD+/dc5unHEo0dPeHR8TDoeEYcJ9tkZOl+zWJ6zKSouasXJ4oRis+LW/bdQSmKNpqw0J+crTi5W3L5zg8Y2iCBAKc3jRw95+uEj/q9f/RXeeusOKgi5+8aXyVLBKEnYufMGsVLs7M852JuBtRw/fsbR/gFCN0xmCUEYcHRwQF0V7M1mPDk94+n5GUVVIwe5hQ7l6cettRBX4VjXL+zp4O4eskUgRNAvbnLOIdvAbRtEv8CH7wo1W6bUwvlRdx4qlq3VsKJFpSy+q0cfFwq6Cl1nrY8xhJcBFYZEQYRAUOsGbUyf1MNuy1i8bH98L4AhvZSCIa9kbF3vG3fBVrf8t0vytXbdl0CwRbHEsLKW7rB2EpwliiLu3b1LYzRREDCbznn/4SM2mxyX+gD2crEgSRPi8S4LVzAJbhDrnDhLiZKERmuiKEIIWK2WmAZOjs/Z3d3hrbdeo8xLHj1b8PTd3+UpvwvAv/Mf/gwXl0vKsiAdRYgoJlYxzkCaxOzsztFNg3SGnfGYn/zyF/nuO99H2Jp3H50wm02oTcPl5ZKiaq4ww/MrHz1E3R8i+6V/2zxQH+CKrWamdYN6YMr18YRz7dr7bora/50LJQFnfIGlcG4AGHhr4axDGH9zXVw4MICt1YEgCBglKbPJFOMcy82avMixjd5G5XLrTXStfz4JvZSC8fzyRtcjJd1L/7CNCp3zWojOurTtd9zA5HdqSDgIlMBpzeX5Ba8dHFIUBXmRs1wuEAg2eYEMFEVRUuuK3/61vwPAT/+zf4Wb999mNBoRxiHVuqAqK8IoYDKZ0GjN/fu3CULFcrnkrbdf4/zsMX84+DUffPiI2lhCaXnt7hE783HvbhRVhT2/IJQwzlLCOOJ777/Lh48e8+77D1g1hqosEaYdk4EmH7bG8QPUsey2ALCzIF0muxtMSdtqSIjWFRrkE0Tr016z1Ft0sE2sDqDTbY2a2MK8xpeeYB3tgkGsBIFFOo80Gec6MJY0SZmNJuzPZqAUSRpzuQpZnF/ijPHVxb0L0cK91xTDR9HLKRhXygbElbzE1e4hAzfCOS8YXS+jvqNFa21azSidQwnJNBv7yljt/fXHj5+yXC6pipo3X3+Nom5Isi/w8NFT1hen/e0sV2fcT96gbjTlxRLdWETgl9AGUnLzYM5meUkYRQTO0Zia+/fu8fP/6r9NUxfM5jPuf+Yz7O3vEjqNrnOCKKYsch4/e8Ldu7fbcpWIIIlZ5wVPHx1zcnpJbeH42THnl5dsygInFEJtp9hojZSir1Vy1/863dDHJO34dMG7GzSqa8e4Q6j6mKX7rtZt664tZZdf8AukFIAT2C5XYi3KgXNbCLgzWL77iCBwFqQjjEMmacbNgwPmowmT0Yi9nTlSKrSxPDw55XK54GKx4PT8FGsMzpk2/PiznPnugJNOU7XJueu6oIsZunXOQzPaT6LAC4sD0RbZWQHL9YqjoyOObtxgsVyRBL7xWRQnVI1BG4txDVXdsNlU3Hz9J6h1jbodgbAkSYKzklWzIYxiqrKiEYKyLKnbtRO11qRpxng84stf/jJJnFBrTZSmzEcR+/N9kBCoiKdVw/3795A4tG5wOIzWxHHMnaNbrNcl5xcrrBNESYpVAVXtfe6OpGzLMURbitEFF60VRVxzU4cDDiD9AiMpvFviaK3w8Bhaiy4Ggbfz1qDjdItrE27CLx6zPljurtPhZRJQVmAHme0oCEmDgCyMyAJF4PFjmqYmCmNCFXBjPmecxMxGI4SzrDcbysqP+5VarI+hl1Iwen/W9c7QFubrP2/jiR4ubEWosyqd4zxAVGiDQOMsURTTlY7keU7lCoIwBqnYFCVRFIKzSCmQMiTK5kQ4oigBDE3d4PAd/6w2nJ8vcBZ2JzEqkGRJggUaYxlP5wgkSgVMwjH3798mlpIkFBzduMFqvSEJHFWVk0QRqoNTrSVJYuJYEcchcRxhEagwQQnly6wHgtH5+Na1jNnWiUkht7mBj6tkbQN2Y7f1VEKKAarUdR7EWwuxPc83Z/DM363TthaMoxeMviekc9s5dBC0+ZdACbIoJFYhyjlsXaOFRAtBs5HYoEAGIVGQoJKUNAgQ1rBar7lcrXhyfk7TfLK+Up96t/M/DgkhUiC//9N/njCOek1nhOonMWDbGKzD4Q306IaUreUYJP2EEx5dcdsA8XBvh0BIbu7u83M/8zPkqw3HpwtcFLFerTk42OXp8Rln50sWiw22sThXsbe/S5IkBEEISmG04YN3H7BcrQlVwK2jA7A1b7/9Gvffept12ZAXJYe7M6SzGG1oTEEoJflmzd2bN7hx4wZKhSShZLPJAUeSxsRxSJJExEnG6dkFDx494Td++6s8fnrMyfkZm6pgkW886CBVLwBbl+h56/BR7YWuPB+ubaHtU9Urp2Htkh9TYR3OmnbthqMW2+vJZttfV7ntd3jRMAgHaZwQxzGjJEIZjTMaazROV31uIkszwigiiiNGoylhlBDFCaPRxIMswOVmzdnFgl/9P/4OQOacKz6K115Ki+Hwgymc6HuzdgGmfU4w2K49EwKE8gJgXY/GdFpOOQiEQkpJqBT70zn78x2v8ayhaSrquuT27ZuYuuLi/JiLsyWbTYWSiulsipTKV3Q6i6s1q8sLLs+fYYXC6IBVUaKLBY8eCO7ev4+SkrIouLiwSGcYj1NOHj/h9dfuE47HLJcrkiRlf2dOEMSMRhnOOaI4aH+SIo4iRmnMjb05b969Q7nZUOYbkiSiahqqqkEiQEqMz/i9OEF3HdR4DsRoX185txWCAazb5T/ag9vPrnhb22C//aw7pm/U4CwO32crigRRABILtsE1GmMaNusFuml8zKICgiAkDEMPfIQxYZQwme0QxzFhGCGVIvmEO8K8nILhtli7EGAxPbpkGcYR23M6LNy1iSqs3a6JboNEi/TXc5ayqgnjhDhNaZqazWZDU1es8g33791mtakpN2ucLolDyd7+PlGUkGYpQRhg6oamqVicPqPIVwRRBjg0vsXk+dkFp+fKaMEAACAASURBVM+OkUmCbkocCeBx+sDfBOvVmmyUeghyZ0ZRbtjZmTMej7m4uMAai9ZeuKfTKaJd3hqGIWEYoKRgOhqhE+8o1cZQa41r6h5ChauZ6EHPjSsC0QfR1+ehsxQDzu9cod4t6gVxu9oPd81e9fJl/R8GhSMOAqJAoKTxVsJ4odBNRV1V1HWF1k1/EaUUq9UlSikCFZGcnhCEAUEYkqYZL7KSL6KXUjA6PHqY0e0AuY9Cqa21Hls33jfvzLpoW+J3CSPtPL4eJglZGrMznzGdTAlUgHOwv7fL8vSUqq45mE1JgxDjIMsSVBBQVyV1BeiSs9MTyjInzvaR4YgwnhCne/z5v/AXuX2Q8vU/+g5v7O/ymTde5/vvPaAxDRcXG4zRfOfb32Y0ztBWs3uwz2qz5vTZE+7fv0/T+KDaOUeAZyYExHHI/u4uNw8PWSzXfPj0GUXR9BnfqmkAXxxpreFKM07hu2m4a67U1XL97fF2UDwo2pilc6mk24qUGFyjSyk5IDA+yde053dW3EcglmkUkIYBoZSEzuGaBmsMxWZNVVc0VUldla2VkQzRx6bR1HWDtTmXi4v+/Q51+yT0UgoGbCdoKBzDxxZ26Y+2WrcJK4FAIpzBOQFS4YT0lgRLoASRVMwnE+7dusnefEZVVQghmE4nPHr8GJzl4uwUpULSNEVFMSBYbzZYIYmiiMVqSWMd85uvUZ8BMiae7JBM99nYEdHsiCD+ACkkm8WCOA6pCs1qUxCpAGRDUZZooynygvPjYyZZzHKxxBhDNsqIWvfAtZWyTaMpNht0o0FIhJRUVdULgDa6rQro1sl3Q9UW5g26ewyZeTjiPnBvGbjlcjGUmI75r8cldMzpkPiMeR/Ud7G2swgsoYQkCn1DCGfQVY0xmrpp2KxWNE3dXlP6/l5CMlwuK31vJKzcLse1OKyxDKuPP45+pIIhhPhPgb8ODIOa/9M592+0n/8Y8N8DPwksgP8J+CX3wyIAQvbIR1dSfO1G/GOHubdLOq3zeQzpnE9YCa+ftl/vXYsojrl3eIObe/skccLlcoVSijgJW6g1QgUhq9UaFUTMR6MWDFA0xjKdz8nXOdoGTPdu8fTkKc5YdF1T1JoPnvnJrcqGZ4+fIZ3l6I17BNIhmJLna5ySVHXFZDrh2dNnWAFpHHJyeoKxhizLCIKAMAgIo5CqrtFaEwQhs/kON6qS0tQs85zGWhqtQXftb1w/dv4XA86vlOuZFHfNWvQcD9Cv8+hKaLbrOuwVQRg+ds/l4Jz+eAdSOAIBsVIE3gShm4rl0isDow1aNz6hLSVCKoRo26x2FQti2xZp6OpZLFbaa/2sPpr+JCzGbzrnfu76m0KICfArwP+C35jyLeAf4AXkv/1hvsBo3TJ9W/cz+LHDRUkd+NHDts7jUw4wbc6iKz0QQjAaZYzjmBs7u/z4F7/AdDKhKAq/aq70k3L79h0ePHiEE5L9gwMuLi5xRrO3e4Oz0/cpq4rl5RlNA3VR8I3/59co8goRZDz4jV8F4DM/9a/zu8tjfuwnfga5n3Dzxi4mX7OTZdzYmROPYvJ8w+JyQSAV0+mUsiyZ7+/idEMgBZPJhDiOUUpQ1z5mMNqRFwVVtWG1uODy7JQ4CajzkkY3vYXoGXWweq7FavsgGDfo0EF7UBtYG2uRnVB0i50GAMgLBQJfCCjwLpPBWwjbdiFRAkZxRCj9JgGuqal1TVUWFPkGX7umiOKkrfSQSKXoGkd3/XOfS+x23+8czlqMtZyzTch+FH2au7b+a4AC/rpzrnDOfR34b4B/74e9kNUaq1vYTjdXJqQvcLMWrG+X4vqiN/+eoF3rbD1CI/F/kVRkccLefIcszfo4xjYa6SCOImgD/vv37oODJEmIoqhHR5IgIBKCIt94JmoqqvwUp1f9/debxzSmIohS4iikLnMOdmfs7c4YjxOasiDAsTubMBqNOHn2jIuzM4SuSeKQR48eUZUVQoBSkiAIkM4z1MnxMe+8+x4PHz0G4OaNQ+bTMXEUgNPgNKLtBC5cW7rtLMIaMBp0A6YB24DRCKtRziDxx4iuC2E/3qbvJnJdKK681yFPdjBHziKdJRQQKUGkBEq2u28Yg24a6toH1gKfdum2Set2RtpWC29p2+S7PUn4chYZKNT1spiPoD8Ji/HnhBAnQI7fqvivOefew++a9PvOuWGPxN8B3hBCTJ1zy+sXEs/v2poAvgettVfKo16Iv3dlCa5bvUa7mk1cmcA4DBEI0ihmPp5wdHCAkpL1auXPsw6hJNZYsjRmPh2RJbEXUGsIA4Wpa5RwbVNnSywdtYUo20GuFwjTcPPuF8DViInj8PaXyMs1VRkwTUfMZxlhHFI3mqLwFaRJEiNUyHpxQRwFHB+fcHZ2AsDDDx/g3C329/cIwhCDpShLPnj4kMdPn7Ha5CSjrC1j2SBs490TfPet7dqJLZLXaf5ucXCgJEr4paWemVs4fIAwdXsYui74blWt7Sp026TgFqHaggXOOiIliZUkDHw80QuPaWiapm0j1K0fhyGSRvfSgRXbUqArvNCVtXzCoLujH7Vg/D3gfwYeALeA/xr4h0KIr+A3iXnRppS0nz0nGHzErq2TKKBBoo1va28xvsV8By0BtBnevl6nw9lp1xB34+p8ziHLRtzcP+DW4SF3b93yaIhSWCEJ4xhjDEVeEuia1eKcarMmTWP2DvaJkwScIFR+lgwQoMnrEochjKeYagWmwbqGptpgqhX1skRP9kiTXfJiTSZStDYI15CkScsgNW+++Tp1XfP06TPqukGbmsVyQXQaeWh2P6EoCtZ5wWQyZWc+Q0hBY41vFYpjkqaUdMy1ZXaf+xkyml/wI4QkDkPvywtBVVYY6YVDOYvz9eZ9719faSv7+E5rjbVghRv0ut0KnneDHYGUBKrdY8lYfCsfS11VVFWF1nrgFm2tz7YLzJbnh7BzR6LlBf8g+gZxP4h+pILhnPvG4OUjIcRfxccQP4tn/DvXTtlpH18kFPARu7be2tn1vXytz+LWbaKuy+oaZzDW0bSQJkJgpWoz35IwUIigmyAIhSA2hqPZlM+/8Qb3jm6h65IkThBSECcRz548IVTw67/+j7h79y611cymc5yuKPMGbQ0HOxlJFCBxpJEmOjtHl0tW5SnOOKTyWtLUG5bH3+Sf/vLP89bbbzLfmfPBB09YLS9pqpw8v0QA2WjCwcE++wf7OBcyGcW89Rd/BikkZVUTBEEr/JbRKGN/12frZ+Mx8+mIs/MzxqFib2/Pt/HRxgepUmCcwzm57cLourUP7b8W1RJt36goDluLEmDqrdH325f5wHYb8zm0c1iBh4Cl9Me0SKBQvkGXEALpDK6paZxBaIu1Bm00VVVirS9QVCpsXSCBkmEvCLpdm9HHRzzvwl1HLf9UUKkXUAfkCeBrwL8phAgG7tQ/Bbz7IjcKwH3Erq3j6RznnIfxrCEeANTe5BustX7vCWcxztfkSOkZQQrR2nrbrnm2CKMZZylpHGF0w+ViSVVVhKHER5qWuiq4f/9+f3/vvf8Oe3sHzGYzXFMxGyU4U5NvNuzNx8Rtkm15uaEsfeEfQhKEAdP5Dod3bpNOp2hrCYKQJE5oqgpnHSpQCKepijWrZUAYJsRRSrG+ZDafM52OEUIRBAEgSEcJKgx4++03+PZ3NO++9w6XF+cc7O3TlCV1UW77tlqBUrLtz+UG/W23XVa8kGxX88m+dFsShh4VtNa02yd3a2K23TkCKb118mW0PvfSXisIA7rtw2w7R9ZoTN1grEEb06/0EwiUDAhUgJCSMAw9U3X1bsYzvpLdMgJakGAYy2zzKZ8U//xRw7V/BfhV59ypEOIGPrh+Bvzj9pD/EvglIcR/BrwJ/CLwyz/s92SjDOegkpK6rkEbRFvWLBQ4a7DGYpXCtEiEFS3m7TyK5UvQJQSeGQIVMB2PCZXyUGpVEUUR09mYTbH2CbKq4vLykvF4zGQ8IolDxuOMQAlqfGyxWC1YLBbMdvbZ3dtHRRmXy4aL8yXrvMCUa9JszI2jI3b39pBCoOsSFQhG0xFBHCCokc6ilMCahs16w2jkp325sDx6+IBbd18nTUcESmKMVwJxHHGwv8d770XEcUaW1jw7OfVKRGukCtqNHUW/Pro1EVcC1iHvdO+roA1anUMFviGCsT6lKm2bHMTXEyrpMBhfFesliEApv2pPSlRbuyS0o7YO0QIkta5xxvpOHi0KJYVEBQEqCPw+5G1BocGv83aDe+zXeEi/QlFIizDGu3m95fhkPPajthj/FvC3hBAjfPzw68DPO+dW/qbEXwb+FnCGd5/+R35IqBbgc6/fJYoin+WsNcvlmrpFMCqtvTulDUVd+Qk0GtPodjIsRmtcoECKNknmNdHDR48Iw5D7d+8BjvV6hVKSbJQgheFgf8y731ny5PyYyzRhNhkTSIPVG6iWfPPdb3K+WOCQ3CHgRjrl9TffZr5/i8ePnrJenHNx8iFxHHF0M8Nuzrgoc4rVJbZeo5TCIbBGE0QhURjjpKLRDecXZ8xmc2QYc3jrXr+gyBrL5cXCM4+SfPbtN5lPJnz9m9/h3fcf8P7DB62/b7frK4RPikkh2g1wtgWFQorerfLUrqgbuiqAbpp28xrbwqBtnNfu/63rGlM36Da/UtdVG/Z7RNAYg3EG0BhT0zT1tkReCMIgJAgUSgb+lttYZ7t7rO+BK5TzW4i16JN14FqLY6313Q2vwMafjH7UMca//AM+/0PgL/xxv2dnZ04Yhv3r6WyC1g1N3bDKS+rG0Gjte8pWfg+8pmn85o/W+U7gwq9oC6Ow1zam9Wk7MzyZTJhOZ2w2p0ShRFeG+XRMkiRUdUlR5hT5Gmc16BqnG2xTEyUZSaIIVEOdL5mmAfGdHerDlPfsBU1TYjbnHL//HWpdo23F3u6MJEmx1qFtSBiHREmMUDGBDKnKijzftJtOKg6P7lHWBu0KUu0IlKKsGw72dtnZmfGTP/FldnZ3qUxDVXkFked5z+CqzQFcx/67VX6+kM/1UHfQHt/57doYjNZorXGuZUQHQvrzTRShG43RDdZYNpsNpqmRzs+FxS8e0rppd3ZyfaDv4wqFUsGV97p56Z53i6bkALrtHrtjjbnal9d+Ql/qpSwJmc1mxHHca4UsyzCtlpjXTauNHJtNwWq1Js8L8tWaqq6xzhIEim7lZxAEyHYidnd2GY/H7WRAnESoACZZzGYhyMucwxv7XC4WHJ8sUTKlzDcoKbBNDQKyLGUymzAZxTTlmo1uWutmMXWJdIY0irG6piouSLMYKyGIJGEcYpGM49gn7IyhzEs2m3MWqw3379xnuchZrxvyKiAMQ/YP9zm7PEZJ3xwuXq3I0phASeaTlN3ZDidnPqGVpukV1KZDcYbM1y9/bWFVn6dwhCrs13ELwVYw2vyNtR7w6KBUqxSunSPnHGEcUZYlpvTNraV1CGH65FwgQ0SwXUClVIBSqp+L7rovSuJtVxBuf1d3rFKq5xM7CMZ/EL2U6zH+/v/+vzGdT3HO9f51F1g1jcFoPxl1nfuCs0ZTlZpGN1SVbpNGfpCqqvEQqVDcPLrJzs4OSZIQhgGz+RRjNMvFgrreUOYLitUFxhrqqiIKExaXl1xenKGbGusqEBLrYHc+Yb1aUNc1oywjSWOEcERRilKBL3TrigFxhGFEGPpG0No68qJhuVxTacnx6YLGGO6//ianp+fUxnCwd8j+7g7WWhosN2/e9GUiznLvzm0O9nZJs5R33nmf49Nz8nzD2emJd/kRFO0mNw4HttvB1mvpLpBtjF/UI4BQbpm0blcGdkBHt6Cr0hpjLNYYyrr2AbJUqCAgjCIcDt1oFmcnbPKcIs8pVksfeBtDXdU9atQJbPfXCYFv/Ozn2hjTlwSZNpbAub5vcXfuMBA3WvPo0QfwZ3E9RhLFZEHs65xC50up8ZoiSbz/qrXBWT85EkEoFNbFmMxQVbrv71rrBmscQihGoxSHRQhH3VR857vfJU5SbhztI3KPhESh30RShSFNWSOlIM1SnI2oGr8GOmgDxfl8hzBQvRWSKqAxDVKFLBcLdFV5YMBaTk+ekZc1jXGcX66I05QwjIGMy8WKL/7Yj/Huux+QZWNG4wkXixVWwHQy4enjh+AshzeOUKbhiXSkiS8939/f84rDanZ3puSrDcZZVBJjWmvg4w2fTQ4D1XcCiX3dBs5aQuUF3hqNMA3S+D3vAhX0frsMBSZwfTzTuTFC4lElIQhkgJ7PCZKUZDQiCmOs9tsy55sVdWuBcN0SVzEQjm2c0VVLd0iUlLJtyuD5IFABapDp7vcz/zO9tDWQEEgC0SFKA78Yz5yN0QhjqKSiKStKW/XaJgnAobBAFCqkCnBIpHJoXWGt7zMrgLqu2eQlumqI44zlIke7dsmqbBCBZLYz9xvZr9rcQgs1piO/8iyIE5QMCUJJvrikyXOKqsQan8iyCH7/j77HxeWSKE6ZTOaYRUkUJezuxuzv7XL85DFvfe6znD49ZbPakI7GnJ9fUpYlh/sHrM5O0es1b779OayF9WpFEkc447cxS+KMDz/8ACkVdVWhqhoZeqa217RzWyqA9UXtAAisjw2MF7JuWS/tvqlCCCKlWhDKL1Pt3Zc2flBBJ0SGJIppmpQ0TjG18QWQi3PKckNdV9RF5WH01h3a7snu2rXrtvUY/Co/oURf8yYEKOmFIgiC3mL0pSmfhMV+lPz6aVEcZQRRTDdIcbBtAlaWJcIIIqFIpjOfUwe09C0qbdNQV5XH0CU02ptxawRNo4njhDCKubi4pGpqiqLiyfEpm7wgVoJys0JKyMsNhwdTlFDo2rBZl1wuSpIopClLHj16SpqOEBIaXTKdTtvN7qt2bgIefviM8/MFMghxxucqGq0REmbjCc5JgjAkChOsdSxPjrl75zbaSeqm5tnxM6IgIM0mTHd2qaqCMPTI0tNnpwRBxOHhLnESIghwzjIaZ1RVweXlJVVZta5m02akBd2GMl1NU+evF0XRQrCKIE6BNllpfGZaOEcQhH1VwSgeJNYEVG3Zv3MQJyPAJ2j1WPeMe3i4T1WXVFXJcrHwxaI4Anw23gFV1d1vW4IifAIyDIJ2NaePG1UXM7WLlxCCbDRFqJCvf/33fiCPvZSCAYJAxdsamkGaXwiBk7SZXeu1DX6tt1IKwsDXNlmLxRGTeJSlsV5wrNdCSknSOEIiePLkPZQMaALF6ckJWmu0bXxTAud49uQR41FGvlmxloKmLiiriryoUUqiTUGRF6zHa4SQTKdT8nzBaJQhUFwuV4wnI9/eU0rG4wlhGDOezshGc0BQ5BVNrfngg/e4e+917ty9w917d1ksFhw/foxSitnOHNkiOXXjS0j29vz5xvhy7SePnxLFislkQhL77iWbfNNXCLiWu6zr1i94wVBK0uiwhV7rAeqj/Di31a4gfe60yzC3gXMQbBu4OefhYQeoRmCdwRpQIiQOFTqO23ySblvtWFQrcI1uWldZU5ZlW34uiaMI0ZakBEHQNqkQ2wprIRiNdpADNPPj6KUUjCAIehPpnO9asUUiJF3bTWMbrNUoJfsdeYTzZlZK6fcKbUGaQPkEnrW+ZQujEc5BWZ4RCIeSlmKz4fjkhN3dHYQQnJ8vyfMlxWYFGPK8YLlYIJVkOslIk5QwDGkaQV03mNoxGicEKiIKLUW+BGGYjlOsM1TGZ3nnsymbTU4Uhcznc5QKKEclT56eMB5PWK+WzHZ3EVIyGmXsHRzw5NFDlmfHvH77CGc8ErNcrajqhulkjHOC+WxCGCryvPDdEVvLYNpWlh6y9jkJby38+nivMBRB6C1zFLXIn9Y0WuOs8RUFSuEsGOuoKl/c0AXsQqh2b/W2G0lf2BH4ImjhcM60SbqA8WjkBc9aAuHFqIsvjPEVvUVe4JzPysdx3KNqYRj1tYNW675lznQ65ZPukPFSCkYUea3YBXdKBjjnmUEKv7m7tQJfmiZwVvRl5sI7oAgcSjjCwAeFWpm2lgeclV5TCUWWpuzu7LJY+A6Eh4f7OOE42Dnine9/iyyNkZMM6yyHh4ek2YgyL4mTAKMCFoucndmMcSTZ29/lyZMPuFysKcuSnd0dhApotOFofAvnJNZZam3YPThivcqZzwuOjl6jLCrS0RgVRFjryJfLXjnMJ1P2v/QlpKLd71sRhwH5esWzZ08p8hlJkmCtYjSaMp/NubhccHGxpKl92YuQ3h8fxXFb6gdNXXvtbAzGcKUnk7UGYyxFUfTIlJSidUstURu/IHzCUBuLDH0A3QEl1lqoKoxwCGNxum3UhiOLozbJF/UxhTEaIV0fB/lju02CbO+qbUvLXbvXurdQURJe6S32cfRSCoZ1FfA8pq2UwrmQbrGBMdvCtiFe70sXXN8jNQx8oVoQ+Mm2TiBVO8AOn1WWkjTLME5TVRVKSsbjKVEUgHB+j2/8nuBShR7lSjM2qw11XWOlosgL4jhlsVyiZIDVFhUEWHxcUGwKyrJChhFar5iMZ6xWG9brDWk6Yiz9fa43JWGSIISgbmqWiwWT6ZhxMsKZmrLyrk5Z+jXR63yDEwqrte9iYr3bGAQBZVn8v+2dSaxsWXaWv92cJk5E3O41+bIy0xRFWbYLAyosjJCFZEYwtUUJTywkBBMjYQYegIQt1xiPPUMgMTczJCNAUGAbWRhbAgm75Oqysql83W0i4sTp9t4M1t7nnHh1M99L46qsm44lPb17oz13n7326v71LwqTA4KI1VofFP/GVKcLsc8bsiyL6y4up3g58joTGRexpHnSsZJtxzZU5wODl7Sud4M4VTq2E4yum1S9tZZZfm4YUDpDKX+Qwk3XOKXs475AejDyZD0AlLzuVeROKkYICR/DeJokkUBLsik+i5gZNcGqD/PhSCXZK4yJMUjke5X36RF/kxc5IcB+n3GyLgBYLpc4P5BlNp6amrpu4+d3ZNZSLRYMztE0DWWZU61OeHa5YfAdWZeRqSLCHnR0uxw3mx1ddwNoFtUysq4bcW3wVFXGZttQlgussfRdT9O0FGVBbhLFvsfmUlRbLtfsmwatS9q2pSiEZibPM6zNGIKS90UXKq1T13V0ETHgvYpw7ykNG0Igyy0+uDHbIy6ZZI+SZUj3RZROR+UMeOfI4vhmge5EOqN4XxVqrBmFLB+vKynm2OcBMSUdaVd9mDJZJtIlhdRv/imejwHJdz2sdsrjBm0QnI2Rk+7FVsv0f9oEzke2EJWjc7AB2rYmy4TsoKqqWFAacM+f0XUDKLi4eMDNzRXayPde3VxTLApubq7Z7PdYK67Yar3m3Xff4abegNFok7Pbd3jd4LY1i3LJ6ckp/dDx/HrHs6fXUYEt5xee3/kfv816fcpP/Y2/SdfvGdoWz8DN5oaL84uDtGRi9svznLIINPuWcrGiqRvKynKzHyjdwMXZmbhOyxVvv/8+IRiqIo/0mxKzGWuprMwe11rjhgE3TEoRAG2K76qmexfjFjWB9uYKJ/dJ4o7KVOP7htj4Jac+RGguQznEhifIMkMg1iQCMb6Un4OK8zusxCJ9hOhYY9FGUy6kTvUqcicV4ytf+e/87M98CXGTXtzwIZ5YCoLB68O04/y16aSaB+6pkmozixkGlFa0bUvT7FFKUS0loPbeU9e19F1bzX6/o2lEmaqqxA89fT/QqJZqWXFxcY/dbsPetuzrPVpLhdv1ju2wZbVaRwRvg3Pi8jy/fI6xmuvNDe9/8Jif/MmfYrlag1KcZoanT6/oh4HMmhFwZ60m+CESGQeuN1tMviCPKda2bXC9ZrVcje6nWCOButtYKU5I1nQKS3deQGfT5NfkPo3FMyCxl2ttiNDaF+7LYc+EuEBzxZDPyWwR45GA1gFr42hNFQhekNL9+Pqpn5sgoEJjFUYZtJpqIMaYOWPpR8r3s+f7T03++T/75Whu1fgHzwtUOjJHWCsnaZZlkts2ZmbSD/t/574pagZDiODCPMsxWlNVFcvlcryxkt2Bru1YLEqKPKPMc05WK3EL4lSf1WoVU6lKNkAIdE2PG4Q0bbursXlOWZYMQ8fgeup6w83VNX3X4oeO55eX+JBYx+Xv6LpOqtZxo2ZZEQNWI1kZ56nrPT7AvmnR2rDb79nVNX3MKhVFTlkW5NFFMcaQRQyZnDzEDaclo2fMWFVOa6RgdJWyzJBlUVmjNbPGYo0hi+nkEATKMwwC4XFDgJAyiibGNuJeeQZ8iGDFQYL7ABFnpXDOjwiCwXnatqPvhxhjapQyKGUZB/W9gtxJiwFgUqUTTQhpIdPJJaeVshKPSGPLIdoyKcfcagAYm2G0icrUU5YlDx88ZBgGNpsNvhZLsW/EVRoGx83NFVdXVwKu6wcS40jf9/TDwG67i0x4S55d37A6P2O73aKwQgwW4J13v8NqtZROOTwhDFgjWarcZuS54T/9h3/P3/3S32Nw0vjz4MEjtFLCuRTh3SfrE4o4NgDlKEvJYu33e7b7PdVyxbKq2Gy3ZJklN0I2ZxC4dj8M8e9iDFRVzCwpJTB1jBpjgLIoU15odGvmjCHeh0hwN40eNsGSGYuzbkQ9S2OZGzNiYW4JnJfUegj0vad3bsJABY/3A8HJYCAXCaTVoDAGFqWlyHOsNRRFHjNZL5c7qxgqNpSpWPkMYcpQySZXJLr7OIvsIFBPp52JbkQqcGmlxpPP6MjAEYtLzju6ruP6+prNZhNNs+Pxkye8//5jlssFCk1mLZ4aRaDMMgn0jaVznq7rWZQVi8WC66sbAkpo/YO0flZFObpq8rd4OUmVZnNzw7e+8XVOLu6zXK3ou47T03Ourp5SlgVNUwtwz1psntHvbshzmTveDz3G5Dx/fkXfD7z56AGu78Ea+rYnqEAWYwkpcvZC0BYtsJqtjTQQzTJ9Y5efT9s6blg39uX3Pro9YULgBmRYplEGi5EERzzA+r4fMVfWTiBCk0ERG48E1dAkcAAAIABJREFU7ZvAgT4ySirQRFyWoiiLmK5FeKncpzgrBYwmPHVchqAk7ennygFqIpca3zfH88sYMAnW8iwjy8W33e+b2EUmlqXrO/b7PW+//TabzYYnT55QVUv2+4ar6yv2+yb2oXuyzJLFWkJxZoT2fmatLq8uKcsSbbSkLL0E82lD5EXB0Ev60bmBLCtjC6njj7/2h3xO/xjVcjn+HU3TyvfFtlynNSriiNq+Y12UBOcpF6VAVy43vP7ggqYThdzXe8rcQjXBtGXCqyim80LTM/ZKxNFfowWJYlQs5mmFdw7nFDDQexWt4DS7D2YMIkqNyF4ianYEIKqpOckYTaYnXJxYJAXWYBfCT2u0ZnBDRPYqCIq+7+k66cp0n+Z0LUyKIT8DSrrDglZM1lJst1KB1AesYkk0baq8yOMGlZkYNsvwfmqaSZv15uaat7/1LZ49e4bWmuVyyfPnz7i+vsH7QJ6JZem7Djf0lMUZWZYTEMhC07TSZx1gs9milCLPM9rOxyCX8eYB2DzGCV4YTDY3G8FL3Vzz9PH72GzB2dkZAnvR7LY7Tk9PMVrh+p5+6NEY9k1DlmdkWRljrgwGxXZbE/DkRuKGFINNsRWgZIyBQlpbU3ZK29Ttp0n1JLEkahwM2nsnMBytCEaTGUvvhUc3FQ4TshfEgueZpHq11pRlMQbXfddHpdSjJRELn+IeO1a+Qwhj5iwdksMw0Pc99U5qSq8id1cx9JQ3mHxgwISYxpVGSiACBoX8QGkfsyByouRWy6JisGaBJ9B1Lfu65vr6mu12w9NnH7Dd3bBaL8kv87ipc7quwWbEaT55vIlCg7koK2yeEbAoXaBVT5EXEDYYk9G2rfBGqQWZzRgig0fbDpydrnE+pkvLBdYY1qtTttutuHJXN7z2qGe33WC14rX7D9hsr/Gul7RthGSEwdG6gc12j848YdNzfX2F05b8SpMB2UPL6dmKLLMCv4hIAB00PjiM1mijyPN5WjZZY2JDkbhbKVhOxTatZW2Fhr8bYwnvV2P8kShy3CBTkcQKaZRRZJlB64z1en0QHwIE7xhiahcfaLt6TN1bm40WzQ9hTGWv1mu67tUGx9xdxZgV7cbf5YeR8kUsthon+KRF9/G0EkSoxWjJWmitImM3DE5o/Ie+RxtDtVyCkhudTH1RZECBd0PMNjnxm9E4F1hmBXmRs9vuGRn0lHxHOwzYezlGQ4cSi9ELXH21XMtci65ndbLm+ZOnrNdrLi4uxs1xslrivBe4u3OsqhXO97TtHmuFbkbp1Bln2dcDxlp6B0PX4IcF+boS+tAsdskFT1kUydBCSPUiE7NAMulWM/WA2+hiheDHBID0xRSSjYpWxWjG2gNpgI3zlGU+rufQJwRuHHOsJJ6xNjKDBKl6+6h89eVlZDWXyVJ5notiay2xSvCjt6CNUACNqMKXyJ1VjA/rPEwpV1ESJHCNPmpqbCFMTTDiPhjikN0RPqC1wBiyzI5DSULYsVwusdbGbEqLVoI8JTCeRm3X03YdWhvc4Ok7R5Zrum6IHYeewQ24IchIswDBK4wbUFaRlQtUVtANG4qyJCAn69nZGYvFQvx/JNc+tA1935NlYimGoY9uDZhMU5qSD54+Y+jh3oOSRVVR73Zj4NvUe1SmsFbJZs7suL7em4M1VUo4BzI7EbHpOJfPO482gTy2pFaLhViSeKIbBC/lU12E5HaZiHzWkQpohqNK98iaiNOS73RKlMRoizEBYxgtXQhhogmK7pYxAkxkBiF6mXwqFGNetEscRzqmrYL3oKesSvJrlVLTwRhdqxBianBw5LagLEv6rsegWBQlbrmkeOtNmn3HZrPlUuUoAjYSghVtwJeWRRmoliVN1whEO872G3onWalFxX4PT5485eLiIsI3CmyxxOYLTs7usdvuyDvHzabh3oPX6NuGN958g/fee4eHDx9ydXXJ6mTN4AY2uxodszer1ULg1jZnaXPee3INZDTdjpvtlvOzM5Q2lEXOfltjA6zOT7l3cc76ZCVkdGoaWZx4mYyZaj/GCFScmeVInF3ENfV9HzmfglAUGUURLZBN80hipk/qD4HOpQA90LaddPLF1GNK53ad9NJoAutlTgiZQG66XhAJQJbl47UWRZF2ibirn+bKNyD4F6Ys07y6fYAsnuXgZYCKQms74nC8S5ynU6YDBOJhTRanExmCgiosuL7qqeuaq6trht7RdpLxUEqTZyX5mfR3GD0VD32Qm6Kim9V1fcwy9XRdQyCwKitMviDLK6rlkn5wsNnQNi2+VxSZ5ubmRogcXC8jyBYF9W7PYnnKvmuxJnB+fhK7BnPqbsBjsFmODzXb7ZZ4gHO60AxNA8ayXq2oqoqyyMdTWyk14smAsVAnp/IQYfyJeifFeTHF7GUktM5EwZSepjSp2D+hmSyDVK0DRezZ9t6z14rB9aIk/RCLgQM23lJtDI1z9ENP1w/0zk/Wf2YZUspX7q+bTV/6aLm7iqGmBqVkPL5rypJSB5tdHhfohDTPSxeZMYc1joTXiX4XWa4ZnCPPM/b7PV3f0vcNbdejlCXPDd478qKM6c5A2+6Fvyoo8NB2LdIJ17BvGsCjtaVpGozRFEVJ0BnOBZnjoTU+yLwICYx7NpsNeW7lGrqGx48/IHjQNse5jtVyIdX3ssDkOYPKIVzinKB4JeB3FEVJXi6otzVlbmYBcoZSgj/qu17ctRhYWytFU+cdyg9jpTukeE1NCNo01zyhaXU6uARhCKixDpKG3qQpVwn1nGVGkM6DZ9+3lDGu0L1n8E5itFashUILAbUR4gWBl/TE0HI8+JyT7NSryN1VDCZAWjL5KXORoCHOhXFWX2YlVkh4nZT2S01PqVgnKd1AXQsEvOsdPijc4NltrjH0KLdnc/2YZ09rnA8CK/eei4t75Llwq3Z9K8PWQ6De13R9g3cDwyBEZS44Tk5f58HDz7Bcrnl6ucW5gaKseO+d93G+Qyv4xte/yqPX7lNmhvVK4CJFXmAzzZPH73N+fka9e8bp6QnrkxXFYkVRrWm6nrZvaPue3klhcrVa4X3g+vqKdnuF8j1nqzc5OSk5WVqKIsMphM7T96xP1mS5TMft42FhlCUz5WgptE48tDFTqBPeLMTYKRXgJOVqtIxtJsZ789M9BElb++DxfUOIWa7VqDwSoAcnyNzX71/QDwNN27Gva9phoO2dTKLqOvzQUe+2whwTPEPvXnmc8Z1VjDnUPM1nAEalEDSoH4tIwYhZHxm+Z/8nl8E5NyqM/B55T5VFa0e1WMDg6JuG0mb0ztGm2kMI7OstXaul9zmyfHvn2Dc1w9CgUFgNqXnKeakIb+sd9W6DtTmuU1zvdtT7LUMvgxdvrq/JL04xKpDnGV3Tsru5pt1v8euS9cl9FosFy2pN3TmCHfAo+t7hIzXOycnJmIAwRtHcXLKwmjyzLMqcqlpQliUOKLOcUC0pY6utCx6buvxI6dApnki8TumETsjb9PzE5yRZwRA0ykv2MHHiKiXWO6jISWt0zCYZlPOYENPtyhCCI3iDHgzGZ2RFgckMWdNR9D250Qx5RtfZOIFJ6H6ssWO/+svkzioGzIJuF1IEPZpokGKRms1NSBXXxEzovR+BhIeKFdOqSrInNssAh/cZ1XrFal9zenpK9/X32Nc1qbGmaQQTFYLDh2HM6zfNjpESprC4YRDId7WgrWtu2isGF3B9S1NvuLnZ0HaR7TsEFB5rA33XslwsuLy5obQZrCtWqwXn5xdoleG1ZrPbs61bympJ20vTVV3XrFYrQkTvNvs9udKCzcoMRZkLXU9ZYH3AW+mLNjbCZbxHGUbFmPdZaCUZOYldIvw7ghxjp1LMaElNJESFAFLrC0TrMkfqprRvYoHRQWYNYsGH2IuhNcYHvA3RK8joe4Gx9L3Q5/T9QJ73sbtT0YVPbnDM90UStsko6VNOJ5N3iTpeKrVKxxtoPKgQsTcK719A5MbMlWQzNOvTkiGIG0Jn6XpF3Xrw0GEJ2YKh3RNcxzA4BkAxYJ2lbRWD62TcsBuo960Qq3nHg/xUTkOtePL4CUoJ83fbCfLVO0/TtrIJQhASNaOpqiVZUfDtb3+N5fqUs9MFi/KcxfqcanWPp1cbnr7/jIePVuzrPXX9HkpbiqpCWUUYBrpmT9s03Fxe8rnPf471yZq3fugh5xfnZIVgipzyQtOPMKiEiMJ0fg7PV+OB0rs48ShVy1FoNErZ+N6ADHEO9INDKU+WxYq3l3REsi9zxUgwEKUU2k4BtfVZ5IaSeCfVK3SeRZfNsTxdx1pIwA29wIW8o+t76vpDOdYO5M4qRsqtjwWh1CSf+roBrcPY4jhns8tzg1KTKzZvk5RqrtBdbrcN+D37fUez7wiDl4mhHi6fP49D2nVkWo94rTiS16VZD720y6rgKQshQfNB6hdalbjB0/WdANyCG6kvQ5CA+cH9Ux4+uMfrr79B29asVxUmg9PTM1GcxYq2d2iTAZ7NZot3LrIFNhRxomme52NhLMsyjNICztMC9Q4eHInAzI1rnPoxRvwSHPDYii8V11HpsT50kCUkFlzxI3fs5NaZA4VLSZCEnp23LqfmLXRsf9WaoEE5hzUBpyKZQuxiBPCZHS8we0U4CHxMxVBK/Rzwj4G/AqyBLMxGh6mXTGVV8pf9KvCPgFPg94BfCIcDZ171WmZZqWmxp37kw8VPJ9yoALFxPxWX5ooTvGykIs/JrKbvG4wGjAEKvvP+H3F1+ZQhxSDEFGJk8HOuHzeSELcNFEXGaw/uU7cNRVFiTEbXCgyi6zpRJPn22C6bcX5+yltvPeL+vdck7hn2VAtpjEJpbFnhlGFoBtzgsVnGdrdFx1R023X43QbvNNWyiFT6lmq5IhXOVBwQEwIQXaaEX0qxQqLRT2nxg7XUE15tnK4U3a+ETZs4b6XwOiJ0tUZrS2pmmgMG5xnF+b2RrtmYf/Uxu0VMLccs4lzmDIZC1vC9ARFeAr8OLIB/NX9CvdpU1l8C/kF8/o+BXwF+Uyn1IyGE7ce5kNJawguNRi/+LE1Hk4IAo6LMrvvg+XQzHjy4oFoULMqcJ48/wMVSs/eeH/nRL9B2DV/942+JYsS0ZNc140k5DMLaB44f/uxb5EXOB8+eo1VO23iGoRaFcA4XC2Hi5lnu37vH+dkpD++fE1zPd97/OkYrHj18DW8Vdd3QDhAyy9A5hqGh9wGdZdzcbFAB1usTHj54wLPra4zRtI10DnZdS2Ez2qZhu7U0TRfz/ArvpXHJ6GlkmDGGoMVdcc5N3X4RcJjWWSAebsRAhSDDXIhrkyxDEjd4vBJUACrN304WQsWvl2tItKdpc0/3WeGdKI6AP1NNa7J4acSBXLP+3pAhhBB+M37hT9/y9Hwq6wD8b6XUvwT+CZNi/ALwa0EmtqKU+mXgHwI/A/zbj3Mt1lpCvIFzUzwXWds0JGViy043SY+pxQmIKANlBPZQliXL5ZKiKOnajq7vsHlGve149OjNER9FkC4ypVIFPRC8wxrFerniwb0zPnh2hVEZbRsEh+VagptcDhB0b7WoOD9Zcn5SYlSPQvokMmvIq5KnV1csFid4rHS/dZ628yibozwxPbyX+oy19E0D1lEVFdvO0e4azFKRlwsZlVA3sxM5xmhI6nXmJY1KkH6eW+V5q2qYxQcodXA4JUlV7LinSMCs+VQOgbnr8fOTchzcXxUtiE8KEEkYDupWSdEmRX+l/fVKr3o1+ciprMgafxb43fRkCGFQSv0+8EVuUQz1IVNb43OjWR4fI8GlYy4k+cFp0xMH38+rtS98nuyGIFbAGPJcCBGaRjBJeZajjObi/gOW1ZLL6ytUZKVINyEET5Fbzk+XvPnoPvu2o20c201LUIoupm69Y2zsWRQ56+WC1XLBemkwqhd2EitFt0VVEbKcvvecnCzwQROCot031O1Atc7wzkuRbVFhs4xdXc9IpjVnZwts5ql3kstPtJfWZiOGSc2sBT6AnhTgoHYRJQXA4zpqmfTqY+2BAMqpcbprvO8j3GM+E2/q/PM4pyKy95CYea6U6a4Lxi1W2VVAq0nJknIl0fr7rxgvm8qaru6215x8yGfeOrUVZD6Dnk0VTUG4nUEXXiTXGuMLIhUlcsLLiRbPRxUgdgNm1nB6uuTPffZNNjdbjM5xDpbVCcF1fPGLP85X//D/cnl1w7fffR+A1x7d5/7Fir/+V79AZg03dc3v/t4f0bYelOaD77wLwPr0TLrXNKyqgs+/+TrLZUFeSL91WSyweYa2mmqxZlGd8MGza9bLh/SdAu2odxvquubs3kOWVcWubnDOUVVLrDG0bcuiKNDGsmkbbp5c0bQtPQP7eke9banrc/rexXUR9DAx9ZpGBM8nKs2p9VNbMIg7aY0db/KQELNumro6HlxAltv4edlB8kR+FiVI2cYX44y5hzACRpmUVwZlMoYbc2vxSViMl01lTWt2dstr3v2Qz7x1aisgaUg1sVHomJ4zxoyu0/xkg0MLcRijJR6pyfRrrQnGxBpGiF15Ethba+lcz+d/+AucnZ3xztvf4tuIYizLnDce3aNaltRtw81uR71vIVj6oZm+MQQKq1lVBQ8uTrk4X5LnMjJrUa6xWcYQHIvqlLxYMgSFNgXOixKHwY2Qa22tZMNUQBvxsVsnCeS2bShLQ902dH2L9wPlciEsIDqTttO+jzFDNK4IBc5s5cYFmxdHUzo2rZuOuCjJ7x5Op0rulUDJ01hlRjzPvAKe7tuc7j8VS8W6heiyQhqNfHijESzX7OF0LS+62x8mf5qK8dKprEqpbwJ/Dfid+LtFXLBb44vwIVNbAYqimAp8qdg0ixtefH38BPk3W6AQphNoPIXmwbj3gKdcZNT7iVXde4fShoePPsPp6QmnP7vkG9/8GmefO+HRa/dAQz84Hj9+DgH6oRuDQhD2w9funXD/4oTTk4qykpZarS35oqJ3A0FbsqLCx/HFLlKNDk0DwUhtJCYTnHdRoc0Y1At1qbg0TdsyuE56S6qKvutYFGakrJmCVKn4i7JM1iGEaYLrmAr1Pjr6U91IHv/uDZjWVj5r9vgYaE9ZrVGJXkjZJvrO1JcuxAuzWzsvt98ic+V7mXzcdK0BMiCPDxVxc3fAb/Dyqay/DvySUuo/A18D/gWy8f/dx7kOYIR6pMBtCtRgzG6EZDFCPAnjy3nxph1mtaaahtz0xSLn4uKEq6stbdvPMjIKMJycXvBjf2nNg0f3ya2hLCybzTXLUnOxPuWxfgZqoFeB9emSosg4O694680HLJcFWW7RJkMrS54v6AMMAazJ6R10fYNzgWGQopZzMqVWRyID58SvVtoQvBs3lxta8iKPWC5H73oWRYExhu1uh+8Nfd+PWakUuEpH3YDW+cQ4bgxaSVMX6pBtZW6ZX9z4kzL4EZ4yP5QSad78cJq9eSRgSM95H+cBaks/yGQsUj0lTIDSg31weLdfaX99XIvx88C/nv2eUqx/K4TwX9TLp7L+GlL/+I9IXPE/gb/zcVO1wEE+Ot3U6ebGJ+bDzuP6zGJx+R2i62UmfZkHa0bz8OFDht7z+PE1220dO8YyjJWeaGML+l5xevFI6h2uo1rCovJUX1jwxhufod7X7LbSILSqlhRFQT8I4tYPGlMsycoSHwJt11MUS4piwc22QSlD2w60rRAyPHztdXovrkVeVBIga83QxcJeL2uzWCxoIz3o0Lc0bcvJxUOMC6A8Tx4/Q/3oZ2bpWjfWH1BKRiP4QVpmqxPybCHEEIPcrizLDg7qCX821R9QYMKUqvVBevNTpmi8F/GHKYGiwE8WwRg79n+TK+G3UtGixGYpgkL5qUiYzs2UMZR+nFfbXx83XftvkDrFhz3/kVNZY6HvV+K//y9JATcpMItzvqcXEDNR8dfkc6pkYabC1Px9gTC+L/nEEDBWc//+OW+//S4hQJZHAoEZOVuIaVvvAa0Jg8MTWK2X3L9/xn6/4+amxposEoRJvtEHUFnOEGAYHEWxpCwrBiccWXXdUtcNfS9dfGiZJuUClItqnEvhhl5cvxgjaaNptlvato2wd4GZ5LkkLbKzE07PTiK6WOO8MA8qJRmhEOKMCWVj/4T0Tcx7ulVEyaaUKkwAT60loEdPFvnAIqQTPoUDSo0ukdE69s8kr0AKjz4iqUV3DlPI3scBM2pSDp96RIICo17VYNxtSIgAVadMU3o8SVBTq2pgOo2S1QDQIXlXajLJ8oZxg2VWqtB+kMJdiD3dSsmk1WTuVSQEGJx09bnYE6AU2CInJxCud2it2G4bVGYlu2ZylLZxnLKlLJcERMk22x3bzQ5jDG3bUa1WeIR9AzTGZmgjFmWIvRHWCFtg24mF6YcB1w3y98csHEpxcXHKvfNzssyilBkPjRDL+TJ4JdYHVMD5TrBiXTe6T8ZKJmriwZq7L2pcd23MqEAJZhKSdfez9CqTksh3+NEt0hGZ652MN9N6upcKsQhuVjOR1gM3vj/4Qzfvo+TOKgazwtyBMrzwl3/Yc+PP8YQK/hDbM6foXFRVpKS0/NAPvc43336Hp8+esShKsAptLYXWDEMntRIDNivRGHAa5wdCyLBW2MsJgcG12OKE9fqColigsGRKxvh6RAmeP3/G4w8es1qtyLKCk7NH0pTU9xhboowE4K6WgTfBB8qypOs66v2eei9IWqlvZJxdnLEoM5quIbOGsqg4XZ+CkrZYE3KaWdeetYoQbLQOqVCWxgBIdsnE0WTKREsbRi7Bw8JfLByme5KI2qLRH4t+PrYY+zREZg4ziSDQZJlTsmAijAZhpkys6VNWDBhBhq8id5K7Fpix4s0BgLL0ydx+mN2cXg8JJv3ic+PvRKuRZSwWBa+//oBltcANPV0nAy8TGfQIqiPggidog9cGdIY0/eeUxRKtLSfrszjCOJeg1ggbhjaGru24fP6Mx48fC1fuahVPcdlMSitC4liK7o33YZx33g8DTdPGbjVp0ipKGZTZxxSvCrLJUhp0WoNEfpZBiBiqIMUzbeS7hb40cdemfvoE19fI5Lv02CEPsBiIKeUbH0ZrNXINp4aySbFi/OIh8OLBN7lxaVQcQGpeUzHrIt83I59+idxZizHfwBIXTM9NoDczj6Pj+/T0WBDEZ5IXsyvp/zkR2RtvvM7l5TW7bU29b7CZzF/wM2Rv8IGh7+WGxc2gY7DpggJlyYsq+urSe1BVJSrOjbi8fM7Tp89wg+PkRGKArm0xxkrTkMnoB0fXdyzXK5o2UOQFxtg4m66lbVJ1W9pml6vleAh476kKw/17Z+RlLhs1hNFvt1pY4sUVnNMUHdYcEgHClO2bUq4J/5UsezIXIxoBUcpxXoVKIMyEWPDS5us9xkwWQqkpDpJ7HJlDZlmyFHqIkqjvUo5XkTurGHKXY8zgw+iXjtXPWYdekgTZmDNe6+SgyitIFC3eD9Gcg44ZK51Z3vqht6SrzXV85b/+Druba5qzM/I8j3MyxI1vmx6TCct33XXY5E9nFpsXGK3YPntGs++RmZkDNlNcXd/w/NlzyqLg/PyMPBMi4kW1Yrk+oR0cg4fLy+csVyv2+568qISNcLfl+bPn1Lt67N9erU+5/+A+65M1777zDkYFVN/wI5//C/zET/xFHj16IO6bS5gtFZVD4d1Ey++cj6wf01opJQR2EjtM9YikOCkrJHqQYDj6gIs2hISZOkz1pkKeIJVlxJhzA4TDwy61DyilpWXY9bHNIPZ5D3IsaSWDLfv+U85EKKfBhKJMq6WUmHuhBbsFXBheNMaHMh9Gk942D1uMMaxXKz7zmUdUpWXfdNR1Td/3nJ1XoHyk0Rff22tFIluTHnNxl7TS5FlG13kKa4UuJgh9pRAaCLmz0prcZAQFeVGw73ZYa2OxSwtxQghst1t2u53MDY8FSJSMH1ifrCVj5B0Kx6LKeOONh5yfnUYWRnXwd05gSxvbeyc3a4LapMDZzTb5oUU5lJjNYL6+chBNtSh1UNeQa8jG71Mqpem/u0o+WpMgzOpBJSyYH11BY2yEub9c7qxivCgHN2WWDfkuNVDhhdfG98uHEELCUYWYwQrINNEJQFctK958403+/Gff4p13v0PbDeybgbWrpGtQafI8i7T405yIECaiNGsyiqJEK0dRFDT7nr7rR7eqKBeEoCgKwU0qoxl8IIvs6cZYfFDk1spYgr0oZ9u1Y/bNWMtyvSLLMm6ur1DegXacnt7ntdfus1wuyeJ43xezNRPcRlZnHsfNFWEO97gNmxZ/ItVKJGCesGrz14UwZbYm6yXXEYJHo/Daj+TZqTdkIn/TeB+JGeKd1Sr1nDOSXryK3FnF+NKXfi4laKfNP0vDwuxmH9QqwuQTz72oUabq+VS9mvmqpBPNc311xWazjSlRF/ld5fWpaUnqLXEslpORWSZakK7vx42WTuaEOp1uoCJBPdCSqpSgWqGN3D7nhPvVB8m6SH+I4Ly++dX/JSnkoccPA3mesVwu+D9/8Nsj2PJgraLM4RkheOY1g0NrEGbvfzEdeuh63f7+F+VFe374XWnt5TvTfTl8nVzvYTYypXXnXFkfJerF9OYPsiilFkD9SV/HUT4VUoUQPrQB/M6ma49ylO+lHBXjKEe5RY6KcZSj3CJHxTjKUW6Ro2Ic5Si3yFExjnKUW+SuKUb58pcc5SivJB+5l+5aHUMBj4D3gAug+eh3/JmXRB5xXKtDKYGr8BGb/05VvkMIQSmV6HeajyrQHOWgwnxcq0N56VrcNVfqKEf5vshRMY5ylFvkLirGAHw5/n+Uj5bjWv0J5U4F30c5yvdL7qLFOMpRvudyVIyjHOUWOSrGUY5yixwV4yhHuUXujGIokS8rpd5TSu2UUl9RSv34J31dn4QopX5OKfXflFI3SqkQibXnz//luD67uF6/qmbVvuNavlzujGJwOL/vPvBbyPy+1Sd6VZ+MpFmI//TFJ9Q0C/G3kHW8UwQjAAABQ0lEQVT628g4t/lrj2v5MjmgUfwB/gd8A/jF2e8WeAL8/Cd9bZ/gmvw0wh5gZ4/9feDxC4/9IvC141q++r87YTGUUqfAZ3lhfh+Q5vcdZZKPnIV4XMtXk7sCIkwz+j7O/L4/q/K9mIX4Z07uhMVAhtDA7fP7bjjKXG64fZ3Sc8e1fAW5E4oRQrgGvonM7wNATfP7fv8TuqwfVPkD4IsvZKrGWYjHtXw1uROKESXN7/vxSLz2Zf6E8/vuuiiljFKq5HAWYqmELvA3EFLfLyulFjEN+0vICLgkx7V8idyVGAP+FOf3fQrkB2YW4qdVjujaoxzlFrlLrtRRjvJ9k6NiHOUot8hRMY5ylFvkqBhHOcotclSMoxzlFjkqxlGOcoscFeMoR7lFjopxlKPcIkfFOMpRbpGjYhzlKLfIUTGOcpRb5P8Bx44aHJe5z64AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "time_start = time.time()\n", "batches_aug = list(aug.augment_batches(batches, background=True)) # background=True for multicore aug\n", "time_end = time.time()\n", "\n", "print(\"Augmentation done in %.2fs\" % (time_end - time_start,))\n", "ia.imshow(\n", " batches_aug[0].keypoints_aug[0].draw_on_image(\n", " batches_aug[0].images_aug[0]\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And that's it. Simply add `keypoints=` when instantiating an `UnnormalizedBatch` instance and the rest is handled by the library. The same can be done for bounding boxes (`bounding_boxes=`), line strings (`bounding_boxes=`), polygons (`polygons=`), heatmaps (`heatmaps=`) or segmentation maps (`segmentation_maps=`). Just make sure that the lists have the same length and entries with the same index actually belong to each other (e.g. image `0014059.jpg` and the keypoints for image `0014059.jpg`). Note that all of these inputs can also be provided in unnormalized form, e.g. a list of `(N,2)` `float32` arrays for `keypoints`, a list of list of `(N,2)` `float32` arrays for `polygons` or a list of `(H,W,C)` `int32` arrays for `segmentation_maps`.\n", "\n", "You might have noticed that the augmentation time here went up from ~80 seconds to ~140 seconds -- just by adding keypoints. That is because `PiecewiseAffine` uses an image based method for keypoint augmentation due to inaccuracies when transforming keypoints as coordinates. It is currently the slowest keypoint augmenter in the library (so avoid using `PiecewiseAffine` when augmenting coordinate-based data such as keypoints or bounding boxes)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Using Pool" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`augment_batches()` is easy to use, but does not offer much customization. If you want to e.g. control the number of used CPU cores or the random number seed, `augmenter.pool()` is a simple alternative (and it is the backend that `augment_batches()` uses). The example below augments again the previously defined batches, this time with `pool()`. We configure the pool to use all CPU cores except one (`processes=-1`), restart child processes after 20 tasks (`maxtasksperchild=20`) and to start with a random number seed of `1`. The argument `maxtasksperchild` can be useful if you deal with memory leaks that lead to more and more memory consumption over time. If you don't have this problem, there is no reason to use the argument (and it does cost performance to use it)." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "with aug.pool(processes=-1, maxtasksperchild=20, seed=1) as pool:\n", " batches_aug = pool.map_batches(batches)\n", "ia.imshow(batches_aug[0].images_aug[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that we called `map_batches()` here exactly once to augment the input batches. In practice, we can call that command many times for each generated pool using different input batches -- and it is recommended to do so, because creating a new pool requires respawning the child processes, which does cost some time." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`augmenter.pool()` is a shortcut that creates an instance of `imgaug.multicore.Pool`, which again is a wrapper around python's `multiprocessing.Pool`. The wrapper deals mainly with the correct management of random states between child processes. The below example shows the usage of `imgaug.multicore.Pool`, using the same seed as in the `augmenter.pool()` example above and hence generating the same output." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from imgaug import multicore\n", "\n", "with multicore.Pool(aug, processes=-1, maxtasksperchild=20, seed=1) as pool:\n", " batches_aug = pool.map_batches(batches)\n", "\n", "ia.imshow(batches_aug[0].images_aug[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Using Pool with Generators" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The two previous examples showed how to use lists with `imgaug`'s Pool. For large datasets, using generators can be more appropiate to avoid having to store the whole dataset in memory. This is trivially done by replacing `map_batches()` with `imap_batches()`. The output of that function is also a generator." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "def create_generator(lst):\n", " for list_entry in lst:\n", " yield list_entry\n", "\n", "my_generator = create_generator(batches)\n", "\n", "with aug.pool(processes=-1, seed=1) as pool:\n", " batches_aug = pool.imap_batches(my_generator)\n", "\n", " for i, batch_aug in enumerate(batches_aug):\n", " if i == 0:\n", " ia.imshow(batch_aug.images_aug[0])\n", " # do something else with the batch here" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that if you don't need your batches to be returned in the same order as you provided them, you can also use `imap_batches_unordered()` instead of `imap_batches()`. The unordered method tends to be faster." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Rate-Limiting Pool to decrease maximum RAM requirements\n", "\n", "*New in version 0.3.0.*\n", "\n", "By default, pool will *greedely* load (and augment) as many batches as possible from generators. There is no rate-limiting that restricts how many augmented batches are at most allowed to \"wait\" in the pipeline. That means that in the worst case (when the model trains very slowly, while the augmentation is very fast) the whole augmented dataset could be waiting to be retrieved, which would potentially lead to high RAM usage, depending on how large the dataset is.\n", "\n", "To fix this problem, the argument `output_buffer_size` can be used. The value controls how many batches are at most allowed to exist within the whole augmentation pipeline, i.e. `imap_batches(gen)` will load new batches from `gen` until `output_buffer_size` batches are reached and then only load another batch from `gen` whenever it has successfully yielded an augmented batch.\n", "\n", "Below code shows an example. It is similar to the one above, but uses an augmentation pipeline that produces batches faster than they are consumed. Messages are printed that show exactly when batches are loaded and when they are requested from the augmentation pipeline. To limit the RAM requirements of this fast pipeline, `output_buffer_size=5` is used, restricting the allowed number of waiting batches to five. Note that batches in imgaug contain the images before *and* after augmentation, so the effective RAM requirement is here `5*2*I`, where `I` is the size of a single image. In practice that value should be viewed as a lower bound for the actual RAM demands, as e.g. copying data to background processes could temporarily double the requirements." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Loading next unaugmented batch...\n", "Loading next unaugmented batch...\n", "Loading next unaugmented batch...\n", "Loading next unaugmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Loading next unaugmented batch...\n", "Requesting next augmented batch...\n", "Requesting next augmented batch...\n", "Requesting next augmented batch...\n", "Requesting next augmented batch...\n", "Requesting next augmented batch...\n", "Requesting next augmented batch...\n" ] } ], "source": [ "import time\n", "\n", "# We use a single, very fast augmenter here to show that batches\n", "# are only loaded once there is space again in the buffer.\n", "pipeline = iaa.Fliplr(0.5)\n", "\n", "def create_generator(lst):\n", " for list_entry in lst:\n", " print(\"Loading next unaugmented batch...\")\n", " yield list_entry\n", "\n", "# only use 25 batches here, which is enough to show the effect\n", "my_generator = create_generator(batches[0:25])\n", "\n", "with pipeline.pool(processes=-1, seed=1) as pool:\n", " batches_aug = pool.imap_batches(my_generator, output_buffer_size=5)\n", "\n", " print(\"Requesting next augmented batch...\")\n", " for i, batch_aug in enumerate(batches_aug):\n", " # sleep here for a while to simulate a slowly training model\n", " time.sleep(0.1)\n", "\n", " if i < len(batches)-1:\n", " print(\"Requesting next augmented batch...\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The method `imap_batches_unordered()` also supports `output_buffer_size`. However, `map_batches()` does not support the argument and always augments the whole input list." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "\n", "So to use multicore augmentation with `imgaug` just do the following:\n", " * Convert your data to instances of `imgaug.augmentables.batches.Batch` or `imgaug.augmentables.batches.UnnormalizedBatch`. Make sure that corresponding data has the same list index within the batch, e.g. images and their corresponding keypoints.\n", " * Call `augmenter.augment_batches(batches, background=True)`. This returns a generator.\n", " * Use `augmenter.pool([processes], [maxtasksperchild], [seed])` if you need more control or want to use a generator as input. Call `pool.map_batches(list)` or `pool.imap_batches(generator)` on the pool.\n", " * Avoid implementing your own multicore system or using another library for that as it is easy to mess up." ] } ], "metadata": { "kernelspec": { "display_name": "Python (imgaug37)", "language": "python", "name": "imgaug37" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }