# Daisy chain detection and classification

Source: [https://docs.qualcomm.com/doc/80-70015-50/topic/daisy-chain-detection-and-classification.html](https://docs.qualcomm.com/doc/80-70015-50/topic/daisy-chain-detection-and-classification.html)

The **gst-ai-daisychain-detection-classification** application enables you to
        perform cascaded object detection and classification with a camera,  file source, or RTSP
        stream. The use case involves detecting objects and classifying the detected
        objects.

The figures show the pipeline workflow, which captures the video stream from the source,
            preprocesses the video, runs inference using AI hardware, and displays the results on
            the screen.

For information on the plugins used in this pipeline, see [Pipeline flow](https://docs.qualcomm.com/doc/80-70015-50/topic/daisy-chain-detection-and-classification.html#daisy-chain-detection-and-classification__section_pks_twq_pbc).

Figure : gst-ai-daisychain-detection-classification source pipeline
            
            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)

Figure : gst-ai-daisychain-detection-classification inference pipeline
            
            ![](data:image/jpeg;base64,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)

## Prerequisites

- To run the application, push the model and label files to the device. For more
                    information, see [Download model and label files for TFLite from AI Hub](https://docs.qualcomm.com/doc/80-70015-50/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__section_fsl_lgz_scc).
- To access your host device, enable SSH. For instructions, see [Use SSH](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-254/how_to.html#use-ssh).
- Enter the SSH shell and run the use cases:

        ssh root@<ip-addr of the target device>Copy to clipboard
- Enable the
                    display:

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard
- Push the files from the host
                    machine:

        scp <filename> root@<IP address of target device>:/opt/Copy to clipboard

- For YOLOv5 TFLite model and labels, see [Prerequisites](https://docs.qualcomm.com/doc/80-70015-50/topic/gst-ai-multi-input-output-object-detection.html#gst-ai-multi-input-output-object-detection__section_tk5_g2g_qbc).

## Use cases

Note: For QCS9075, the camera use cases are not supported. Use
                    file or RTSP as input sources.

The use cases enable you to run the application using camera stream and file stream.
                The output can be viewed on the Wayland display:
- Camera
                        stream:

        gst-ai-daisychain-detection-classification --cameraCopy to clipboard
- File stream:
    Push the video.mp4 file to the
                                opt folder before executing the
                        command:

        gst-ai-daisychain-detection-classification --file=/opt/video.mp4Copy to clipboard
- RTSP
                        stream:

        gst-ai-daisychain-detection-classification --rtsp-source=rtsp://<ip-address>:port/streamCopy to clipboard

Display the available help
                options:

    gst-ai-daisychain-detection-classification -hCopy to clipboard

To
                stop the use case, press CTRL + C.

## Expected output

The cropped video frame is overlaid on the frame and displayed on a local
                    device.
Note: The classification models trained on the
                        [Imagenet](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/labels/imagenet_labels.txt) dataset do not contain
                        *person* class.

Figure : Expected output for gst-ai-daisychain-detection-classification
                    application
                
                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jvvTTh83TrROO+1mCfn05xA0dUUFWRifg+m3mJJcinfMdTn1IVT8XZcJiBNIgDZJ1r+WsxOj4Tou/ZCi2ckXpyYAbkdhh8Mfi624KWuTInjPn6rACVlULTBm9SFiK0cgHMIJLmdwQA/DAXWnEZB0Pm/1KNQrlfo9jPy0uRnUs1Q3Ucz2guEzlpjaLDWScyd9oC0mCDbZR63lIz02fy+qdStegOwhfqdQmOUxwHMNuIvuM+rNmbJH7nz/uLbBbgwN7c7X26D4jpE/+KztOdSlKk6oB9HeW3K4P0URfOmSbzk+1bf75pNbmsqb3HDqYCBY0QM9T0Ii/uok15E0VNpDOITu96IX0yylydTfOjQjU61187uZr+omE9SadRrWYnCT4d8T5lhQGOk1dlvD051L3b2GxmeIcoPS+CKYD32yxTEWkL1L3J/6DJ9oFRDBnVJRKIUaNOTv42iI5Il3nDrg0z2moUmdCBqD84qswS3e/betZA2xKQujPysqkawBRWTCkUqrS/0OaClxK3VBw6Ai5ZHpT6ltYyJfXWTOVeNDFjTJB71j9RSP7PX3j1fn7Ihm8CzTrigBAhGRdTZtoFlnzDltje70obQJKLo1j3garOFagNUz8lOslE3jZHRDdkExvTv923xZ9SFU57ADIJilk0sP6JskVfSVtOatQuEFsJ0qUiNw0vdNGdw706G88iKpAiy5bcCnxOSUjH1rae2i1uYq4E46QYzMByVfdZMLa71t+Qqzo+coq2SM7LtrsuXYqp8INgqKKzBmq2b1n/5raF/sYuqWLOSXXz43qeDyO0ub3NdJp6U0T7wxeDOh8xS3/jnBsace7MY8IMjHjprAMSrjtA2MeV7EBSGPpQYgHcJ05x0xDp4yP1AMj3hFMr4SL55f+K/CVUl+qK4xM/qdA+ZrkCq9BNUA217ZY398S0GpE/zgN28zfjaHUqDsysysY97qPDHTZcbbyOfLM1iDFQQi3me6CJhra3+58hTBQSHok8jZH553FBVVqaBBN++a3f7M4iBtkSKQ3jRMjR3cXP2x7H+MOT/z69qlVJ6CY6UH5KR/SrcYY/aO6UCUZIARjCUb13bmynr8jXwAsABZkNe5KFRbbFYqzoMa5xOcXQBiin6o5R9ggobn65P8M7Bqfc7nV0EaGE0XBMJlvp4knS5p/jX2LrCfnGSw29+ARNMiYVhC9Q1OTm8JETst8QOTWXinZ21jeEkjDWQmgB2tj4Mqs6/oQSr7fb+dN58tIeh+S8X4PLd5jaTQcFu+Py5IPTYibTV+95wJCBXtL79rzKoRzlCHJ4j4aYhBLElFSNQW1uxMFBO6FqBY7aRp06eqJUW4Zdljo2M9rvuN3doXDGQtePC5L8tlqsjz5UDL/Eeee9mC9O5z23ixZUhnEgnJPhJA/6vjBDNRLLz50pUcTki4eUISperkf5BUjcdRXzqWR8kxaPwWuwxm0Yo2c5x+I4RFirWc0o49EyImdAWWG8qwcB2dZgH+nVY7Fm4NBrg4wLPtNO5LWxDjUIG8DQfDEW4SnkNArLm4oPehvb2t63t0dmWbV8yb2IQsv+FafV9AxDktSMX6oChr/WZyHItRD3dxwVRyzUHM4ui2hqYGvrNwTF/caEBhCdREwLXs1qhhEP1lSL+S2CNxUgFoUojAaBAllH/q49gjQhcEWgqc+1W+3ClUfADiClzYynpcQMo+saNg7kBHWY2MNqMM2c5OwO0HcGo49EWws9E+b33O8bs+rQ0Ag+/V9/z/PWbOThZ6dCdgFeBjZHoDUNurOicq3yEFfx/9Yv/i++/XGD5mlFDI7CAP9c8IeSW1JkY5TeLsTW3zX2pggQ71DGVov/u5t/adyc0YZ7ELCxLgkpWKtUTNmPsIIm2SEYBeHkmroui5zZkjUYf9OU401rDnkGB6DhrIibbFwtJX9oZ82wROa8Y/u0Y8yHyZ22vzdBCbMXh0kooDwhLTDY8K/xsxL4j/16T3RUA1jLHZ74OQB2G1BWerFLEXkFzC1BJWHBpIjx3I9oVPxH1o2RhsvdqDQAiR9x9FyqUqH2JiJUrRZdqmhG7koB3f/PsjUQAgIVYn4FVVSNUqBlQoc+4Pq56tKsVPzGao48PRqXyqSlpeiqCnWOioK5uLfV8tu627TUF3Zz4OpKrMpTKkFyfDqdvjU5ehVigN1mSzxEXXKJ6yKIUtp63D0jnvwATkcmn9s8evCUvtSr9/TM3TpwiGWar2baUVDmAiZYxIT+T8Lz7QIaPXBn+j3n9KlrfPsTEh0ksyfwnu4J7kx9bSHfqkrQsS9A1e3KsVPnrot8+nM2JWXL78xcqyduFzS0agyBuVU32y9TXerOazG0HYEaceaL/SrHOtMHJ75B5bhtU7NIztWujxFRBNzVkF42dV2Ifd/ROTMmbPpZFCDpKHSy7Xl8lWnK4pdOEK6oVO2Fyl73ZBIOIO54KxNKYmgpffVSmTl8E+kJ5B5xLwfycmQNJ4DRKyEsyVahjhQW3sXHAOtadjXVP/hrru/0gf5bDitENrkcNv9lsnDJvLCye9i1CNhO40LKLdneNFjnXJ3n82BCyfm3eTozizZ9UJRUaUELZT+N89Pw7aw4qr/+1NZnSjbPny9pc85XKX0ergwKNRUYHTupuPBAoWYha8s+lcRK+zujXYcgRoZMrrp6dmAknrYQ1NWGFuRFLHF4qvoLUtsBddOAtegJ5h0ynb7UPUWtvsTFJ7cbMA9qz1MfQ5bMo+wlM9Sdv0jFAkpaxvDWsLTjOfqRL2gGHvhhUH8a+MtjG/dRj0Uc8VH2KliF2TP4HwQV8aJFmfCsc6N1WnPmSB6mGOzV4CjSP3Ajv9CPSpBSdRb4VyIDjgBunSrojGSvFxn//mS4AF+4CR8Iqv1GfsrQctGge+zrKvVMzJcPRwqUwd0JW6MX4coKk80SKphlDIFayQZEJJwOgMX4HDcz5sFwaxc9+J8BCpAckuT3qpTJfAGu0OnTUrwp93izy88W99i6fR1ROMSCHQp5sAQ85l/L0DrTh5033qbwbm5XaFXeoW386rnUI0IIRrzxY0OmW/qA43LHHQjGV3ncPnS+6mYll+hrb9fit+3dn0uBt5XbWbi97Aff4Klkr5HD1ExwucpuikXpAB2Dxg8QDgQGSKrkgZEy7ZtWG7qHyxPlGxVjq86y+szbzLX/6ZIWF0SYu0cniyrEhkeTRix0P6hfX0aibdQ9W7uXy5K+Hwj4r50KJsjKLdzzXT9X8BuEjXKT0YbcjPk5w0pRxfW6i2akIG9hpM/Mz7rfeN01dkWmwrKxBG1vkuSZe5FF/B4CvW+UIqNVCvFe29+enHp5Vnw7ykFzkSuAlfvvotOUD3lA9UYU6MiIQzGI6k6RrNeEN3jAS1xc36q26NPlYj6XJIuJ7jaSkbNoJo87lhR8yX/bflyi3uN5vbNcSY6ZGVZpFea7sVLRXqYyzVrmxIkHHrODMUrBFgh3cMuGvsFaky3R8T8SUhqG1ZumMfy9y2ScJNyM3/N6OFPw1bD+/jSYMkeb3kP/T/BT8Bb81VQ1JGA5HyeSRFj+ePRUxER7+trkqkUlvl4/IAJeI9+Bv/UTJrASsnFvIzL3iBeHlA6kKLsvH+gJ544onrafY5XCB5RTGxMmsQ89rulleenazdBdOY1E7aDn0XdN+f1YmczGwMrlRg3BwZa/1CjGBQwMiSSjXiuYdVnk5ALjaK14i0mbRqC92EsHufTrd7YXfXokTPkvFj7M4aFfo/Al2/h9YX3iR95kagQmAqLmHN9gbACJT9jQyBl0zc/px3FKQ8/0ekNzSahAJv1nqJbH/QWG0Lc9JYl682S0AZxxUiSt6mz60T9jagg7c8nELG2jU6j4JC5fJcRf1IBgS8iqus1QWX024n46wmeUWJm4fiXR+Bw6pvaCQFOaY0HrBFwE/pOC9SgcoMI0Ued9P0U+ak4IS8kM+J2aBq5i/M19i9npx11aa4YXx4z+37YvYthGKswyMfDG0CtUcVuIlmy+lgWjEC1jzC66V78gZ6p9ubkJVqq8XzlQ2wffdvyQWRWMZPpScUdvJmXMrINjg0zL2Uok9NehLfT8LkqDcjRm38/N56CUQNxNb7zVqFhoOCq2US7tf6GcaKrjLnNpuxtqz+DVhuSA6P3N0SLC1DyiEFhUzu/Xz+ylNz6+pF8yAE88p9JfM5ZMZsQ8Rbnc8ti9M1LV2qvZKIwECyNf15MO6/BEbvDgOJkvGpRBFFVsi6+ymKpCEQCaecxp4qTQ/ek9pXbehTHdgHoIi9kT9nkLQ9y0HT7K/WvkDKroaDB4MwG1c7142eiETMje/h2LlSD0AD2OLGKcxvBfJZIaafwNEto8IVfUnC43gOVe1O7OW792BhW5cIoZwbhpwuhYJY9NM4AUVTk8RpIsQyB8R3shB6/okaVL3xFDQPQBuFrlsMT1uqpq1ejf+0kg3t30NU/XcqSV76JuSiW2s5OHV/S+71u1rnFsirMoiTT7gkkH2RUXeEfgM0xgugA/9rjhVriX4Xh6inul1xtJOBhZmiT4feOOTs9m8eSDKoHRbW329TJIFVlNOi/MygScu6ouQaIOkyseVfmN8yOF0dpdwrb002KFdoIf+FRo4e2i1Yv6BeMPKDFUHL6xSo3JjYm0fD3oS0a1JTSrRUekdhMlDC24JeuVK5qQ+6RLmjMhJzk60ffkTuIoDuLXICyC1Yq1Rc9l7/sNhcdZGGk56sJ8Pvp3KibfdX3v6fOg0bw6MwVwfqeMzXuROtCRF2dlcUKDzHRNAy2osB4uezRh3KFCstYvfe8xPdG9lOYqmECOT+JAXu2kMmWw71lpeye4DOOI8sOD90J39X3yGWpRQfbGuMDFzOhPlIxjpK03+M14JP/2NAcOTe53+6xdwNOVLVS1kKTHqT0az2A6W0EK/zrjGYmgQ7N1YJ3YwJPUqj8apXWkeKXI/C9RXCk3Tga7VtuIrlHz0FpEJh0TqCiRgUOUvpNgDw8wUeCJyVufR9lCJ4uBOz3+uawQnFsjOKkF6vq7AGXFWC3Y8I3NAgsO/+Jlkoif9QXHUerT1BVRQzt6Eb+dS24O6+xPY1ludql+a1bt6XxjGgcea9ABp2wTrffVX0wMTJU4YRD7NRgy15CQ+Jc/yhg/ncGLR8DJFULpEJYbZfpY/Jy01vXYMY5jPaiJFcaaR6F0ztVv3CyplYvyMmFYTIMrPGauQMkVu0RHJE01ujS+629MLMSGy9DLvauFVEn3ZN3L/bWLM03+K2q+kTtFYROmEtUPlNhk1O76cWLxztQ4Rl6Odterm74t/JMQAlt3/Agm0ubFfodFu1xY+F3ZIzX2YyiFd05UAKnuE4ATKNpCPNVFqiBow4iE3OLOYFS9FURPrM0OULTh5jeDP9amu5NWLW9B5YJa31uJxPErrY44W0hMPFhLlHsAgY1IPHsPG+OACZhUj8z9Ga9pL7BMJTtm/rJ9LprT9FEEZn6GUlGh9RENWVa+94fgXSul9Vq5FSNmXDV39o2bgtAAGffb/FLMHtJoWBQphJDaie0PC4flqq0ILz4yHHQPO9kA48gPV/c1A3eW83Ae6FJ5xTIwyQRQaqIgBNq9Z6qxGe0DxzM3onCzq+N0SDt/HQSy32vwc+lDCPTu5NooBbwWRkFvwNFheJ+GCFNShOWmc+oGIiIMMb1vSJG4aEbcuNMdNbIOp6Ba0Q1wBTCuz3h1k+bbxwrGi+EeOPOsQ6/+PYsqqT6KpKbwdYyCnuOpN5Ay2tS6jKpvQL8TKGz1dXh9zpBiR8nqaJpVM/GZFP0PRY0GMU0wUaeMZooy+FaqDv/ZDSdG/JfAGnpbjC7IbhylaEFoj/Lofy3NMYWhQBRTgvWNAqQ+LjSciTB7YJ9wvK0Y/PA3Cln+yNxhUOpcU9ckK7Ww90dNupSaISOF18zGDvxoj1MsZkgDh7IzVZ2xFZtnX3ob6MzpS/wU2LfCL0nx5OS91WaHJID4kCW15aTr+Ks9cMSvrTn7a6vI5sNjpSc7MBCsyXGHkgUq2QgYsgLlg4+ld1vaVKz6EeXOybGWoP8BNaKFujYhD8c0LSYupCMlC53a8UDm8BIQMwtJoff3vjZRZuvwk+MUN+gxUbuYZiuKRBiMSkYzQUYSJu+Mh8fa9GPokYw38oHv6HNyARax3ceGE79XCsX6wloWO+zI3mpBsKLrqZVRWVbRRpxnbHteqizEwzhT+U3hnodoMhIMnkK6Wb2wEcdKAOFpNrz3BhcACXvEJ+mPQ6XKfvDBT8IdBj2vGAGfCOWEbYKPgBu9IBxiwjcLKnYV4aWhyTfcy2htOSnxk4jG0prAvweuoqHGmOaBlDiak5I+jVJVs1RYNFzRBWEUJOgD35AA10Zxu1JMSgYzk2kiS03NdgTqg1uhG+iMGEYoVrs0FMV5i9Llgt0J2W3vFHed/bKsLaf2NaEUeoqNx6ECbWmKWgYAHEgc7UVl7MGa10WkdPfIXMWWPz6hq1d7C4JTgPoX8wzpFwaD13SiSlUGYfVFVYngFh6dxlMCOtuOp7obpX20wVAhajdwuNgH9yAJGPI1mA/NbJD6061zRuxV1FYs8OrCCZoxQTr/t1zArMG7UuC8LswfVxQo4+JmQipp0Av50w/dtiFKxqcfMTbvAT7EH3Oj2uv28ZDEH2ETVx0w/L/ZTAff2dUu1+UgRFej/sIOokabiYvomOPUe02se0NBGS8lvrCqzJwf04MYxBgO9yg0rBUrTMPpmXBVYjYwKlc8gQcyZxCTU8P/pI3gWvHTgOimI8FWBaVs4CpwRRVruIMKwApetvziG8bXAUMPW8d06zKE5dOJLgZSOPF9gh1+QYAZIK4Mm4rJiVsZNSqgGBQ/saSK8TjCxJ0tBVUc4JXN22Wcy+7myQkR2WdufhtgLbERmsBBvj8iulm+R0aYPJB+cn9IZ4PE5kLv21CxXMUJB4mqGXHkRMWtaIFFP29K4P2ESP/ZHOOuJ/ZIm1ZtoWRguquKPI71c7u06ni1yZxXBM6EJkh80aN+ZFY5YNI7ctEOnitPJcYrfkK5LD2WiT8vLrgp9DxFyQYHypzHjmMXbKQjn6FdsiYzWGZJYSzH/4nXX0CKDJ7dvU0tBnuam4x42C2emVD3j8jjxqtexB5qwiVxgRO+wyq5c32m7kWqjV9x1WALFTwPIZQCK3fGyzQCq+2zzrF31Mrz8OFI4BYqio1YQCDZVRuHlA6SRPPMMDF2o8GSqM2Ub45bKfvCs4wjLfiRQWNz15SLutSAv+fHbX8ywTXlbXgu+jkvKV6kg8Th2zHA5TeoH+I8mEmOvsB8nq41wTX2sVbM2y/et+rujYDQW4fCamm0QBLtvndD23RtptkYg5zOAkyyqiTayfhbjjVMLMkYPXqVqdt3Ql7VQCKX0Kw4IgGuNiDIsGS+0i3Cf2nu1lzhB72vLlq/9kRcNf+RJqTWuBDDpcmambg8ym2cEtGoEd7i7xIgDSCWRwHvt2JrsZxHNpt3vq3xPN+QdWWLMo1cOfK4TuHz2WIrQoVnFt+Xj/rdQ281Ls+KzK8GRCM7ZGhFncsFjkXFqXVAwSG1PbaqixsHUniMdZIINUDWVecsQlReyxPImUUti4xoIFlwpsxv2YNu/z4mHA1wfdVuIa8EbX4RkygV2ANODOxb+RE5JE2xmi4XnT5HlIZenLo6c+DiYyF0ZZV0B8ImlzDJej+x+V0vB2t4TCGkYqS3zzXmX+oedJ6xg91HRohOZR5TTDHI1NGU4u/G+3vVpBl82atJt4/GlQN7b/c/ZIedFxSY0t4Do07NhG7wnZ2fIIuTT+2tx39tLvTqiCP/9T2iaebNQBG2umiyJTAHflzozHgVTkzWrxjOVdl8Cnz4c0u44wAVXd36RMdgYftF01I2pCli+BS937k9jqiLF4yEVtT5drdHm2LQWvbs4/Gfj8SR9jk9pt323t9dRF9Zdje0wicZtQAA/uu0ABw1/npZnMAM3pQjVhrK6l47OlNdkmr1o5pYjZ2EkPj5+JZdRV4DDufrfwisw3kdK8ThjApape94G0ua4632rHKWfr5TN9qxyln6+UzfascpapfxEN0/mWJD6GB4ez6bURT+U9CYxAYKJMcszsjRJSl25M+NPn548fhpfnJvaxCuQw1kcYAbgy6VVTNfddgX5s682MhIfc1XG9/bQtlnB/F/+9L7N6/VwhrSOe5rDTYs1VaQdfJ3J4sf+x3iKN1uCtDeJXBBAr4jMHikwWoTEqLcG5ot6KgQlYsUa5aJaU9Se29ORzUm7V+mep77mUairEJbVsmiOe2VblOgHMiwfbOxQLVmxkq+e+ardvQiXD/wm+MXyCt7m/uV4c1JNk0VWxIw37oxYIHn0ihCLKXFeDUwPut4MvrE+9ICf5Ltet5gRatVJ6Agr49OiEwwAXJOG3lTlNT2W6KjNtTYKnD2psNH5vnh49ZLVOpDLGSnCyHqBL80k1KdCoQU9i/vKAa+d+FnKnEoRlvpy4Vea73Xq5zX0WitPsYyHQYF/RUa2yyXYjbGwU0N+8PF7PKdf0ASYMnix0OECt1C0Bdw0s8fSjhPa/uhyw1mhSrfP0WywX19rTIkNecnJM9YgsuzKBENS7as+ZK4rcTCYcf39259mh+0/+edcU/kYN+dwBJYgDDApEfZisLQb/3NgtmQnTMPzAyJgwDEhjORlVraeU+N/5Z4nB/FGF+fBfJFfVajEq0d8X5++fV/dOBXzDA+htDna1jU+r1jEXCcnXOXmyA2HcvCg5TWhisSGdEMuQxpIUT4IWvGdibrCbIHR6iy/O/CPwgvYBwMzd7tYYW6imph64blNUqx67pwhhs4woSzZDY1eqk0VHCXyoqQ8ERoHI7QIvwMawBu5e+dEA6Gy2K+YToDAca31z8G/LSU3huX70y19paFySJ33wEtaV84WGENZH4m0kaDbX5FTcoxKOZMemLzyXJvf8HFIxGabD4fc8cEthdsoRJCRY8u/eFqj/55uFrwgT4xLa5Th9FIwOZ5dQEm3tnUl+WHdCzdTRLuUUnA6mSdx01foExUyApjjxIeo7KbeyfIX9+oMpvj8LO9qcamjgObhDKE5Q0WZQVrDK0rlPBLnmbraINkliU6L6OilylPQFNDkMfGBOR+C9wg2ezquS0SdBF/dKYav1ZLy+AOtA9IlC1xm8TDyFgOmMATdjwkUcjUEJGCSHtqW1EtdglD+AfEMsIDh326WDLgWHm8lrsDq7PanARrLPl8Unzv5TWvDQUaME9QSGKOVATuvLww7TcXqECMnIu/kL1dnmi65euLeQAEoPMziLwkrC3+EH4t4xkc8B68CS0Hr7E18n679Tz3c8TWo2uoXpZj10e8R7twXt03omOcR2oxNLBkBcExbVTIklfedCo1wbdlH2BhAkfbX/o0d1iRCXtepEAAE9LJbLKo5xSprfxyLycAFjiEOivUnHRtPug+DZ9jZJCb8VieFnyHysNam9l7BKIAAAAAAADlid+E1F/XAAAAAW7ucyQYU0AP1LJ4iyhYFXQWmSSneVSjYi9YSvruwHTQfpWycnce8H2iNiQ0c/9u+cE7tGbo2K2D18NIO4mt3Q4CCSkCLZ3IEc2QbjnSmbC5vfaRDS4S0DFh7jVVLLzR/dt9zNihUZ4l/9JMQkDG8aG9c+gePzPgj8OARY9i7MjPaAAAGFUnVd0J3wAv/MKXx5bhlTsih7SEchWoP7iRufJ7dNH+/3J9VDU0z6vGcklmgciK8bmki9ZfH2BrBwGwlSPecuHQLgmDMHMbCdIjaNUc5Pb+Crd82pJFlYfie7/bkY2P4AAAAAKla6RzIbV8IDjAs9dzQqV0NAuMy+uYnabH2hFo9gCezlubojWz7g7+FxwPxAgGHgTdSVq6WEA4NUOY3S9cRieFYQCxjlOBFx5Mkd38T1HtTxrZny9xTboAAbUQIhpqxlldHfx5CwK7z3FPjchksuTjxYBpeBUx1ilgxaQfA8p/xlJ5moNi5BT2wHS2B4k3BZguiWw3kHlpPHtQNR+HEFa5/nyPp4q7wBMYcpHHsStYR6y0ph2yLY//eudjht1qHNJuf7tMT/dKcJ06QacCU9qY9gffnyLog8rFhdaKXR+nwXPbbFfLWNgz76gMeLeAAEpRhd6geIah6hQ0rQ9zKKVtQvFawkEK59UvClI0cnsDZZ3l6Paoi7GqBp3UP/C9XZ6utvmBquX2bA5GcFtK+KDf4TaNqe9n6m7xFK+4IaoYt2Sds8gEPjns1OAQurMyt5soyCbPkCsnLgWCdroEMSdq/FIFpV8PrGOBYKlpsllQmLwcUu01mfx0xJElMYDR0fNsA2UqkUO4dE/tVnwTrGs1SIIXz6J+UkAAAAEVnXxkXynXqN/V693Nx+vgy47Dj28cbofyXgctoc/e42aPu4H21gHiGP2EFmaoHQ3BCJznkfI8wuZNqw7BbJD62SgAAYQN1vCpuCwRgisn9BkvpEvrAzr2pWUzjNZj1LnqJkmSGrivl9RV35mM4akVd/I6MBkbErJ6gpi28HE803n1nSoYsXjk9G0rVbH3Tf8WBVNdwFCkS9ZA1qHDKUNJfxgP5CQKZ+EOTxdSkLfVbdxT0pywa5FnOZnalXpw2WfjM/vAwAZTyqu8nFnYKGPJyyPY26Q1kGQ1r/v12tlhpFJ2VWx7IkgkAgABb879LlrWufw+aEDNT17EbxyNNMCrnNe+SA+WbzXmvnE5a3iOc7eGFYIdmzgrOgfTTqxSFK2YSC14vjzYD331LulOVav8BV6jV2aPs+CfLCnYuxmRb7gOMTWvNXtz1FBBnrcfEscnQ5IcJpBN59TDLrnQ+fi/qNdQNIvMiLWUW4pWcrD5LAWamFj1otsax8ZO1WE6nZW0I1plU7f0CYDa7G/2RX0mXLDZydISWYa+g1IGuVv/yaHxAF8cMu4u8Ej4rRrjXOONejJmonUiNfyw20snJFF8tkynO8aslnA39nNbrS69HfwuBMff3iqJt0JaB+lGmAzL2NEB+sex7B4DRUPjNN1UbvBlCZOSZgkhNcLuAICyt3bppukdiayS6qQWq42eiAAAAXctOnBU3iCAn4YtmkcaYQERTjDMpB6UUjL601aEgpkiGgiR14OVjk2JoL7Vl9dPCcNrgVSnzRxaHiO2it7g/YUl4rq+X9XrWYAAADfyc/bVxrNDhbT1srXdug7dn99+8rTFU+18NhAEl18j+/WdSqXomLLN4+J0IwINeIpdhrhIX23AIUt3zUKL8fpcCgeyNlbHzYyXJZn36pWX3TBGAWO9AFN02XNBgYEvG2aME/fuV/hBr+7f8CV20WFF/XaNiLCHdO9LbvFokmvpxyWC7nqklbxGCAx2N1Ab5Mlo3BiYhoPx/kC3cxw0ANgMqk14AIT61fxGEp+Lq+rZUIv08gIIXPAAAFpNZZJ1CobqwJs+Q6PhCpateEmRy2GS2PNFw4W0DYeXzBhCeWgVq112zVgM1wiKqVwJZF/w3nbGFruT9wZk9Wv0MC0U9+ln96Lwp/pBhB4c9Rv0D4ip/LjqTnEpla2kuHPfLoHpGrdsUYlOLH7g6BZ1C2uOt/JSyJcivRoyayuOTgIaRLSd0nhzHf+7ie9HV2iYXk6OjcQGPWySZMsd+LACyFVu1u7cPFrcYlU78qFf41sdh7preKvDVi2TqnAz2hYETjWquyPewIDDx0KSyPvGmBaggcdkoDTs9q/7zT6dt9hdvv3wgLvDS15HVXgNob2jnRm8KscEyZn+4xjT2n9eobNvMASAkBXPT6edlA9CBZTJRw2lobRGHf9T251jsXvV6MulH0f9K2k/GYmjGiqgkdiAMBSbQJdjZwFCpsZ8qbbdlYk9fPQAAAAKbkE31UnZEdrCknbcDffXg7w028mhMFMJ88GJFwRa9l+orEQMXk3TFOOyF3u0pINBMEmm9v9Dw3k7QBPxW49xp9DqIAAAPBPRCgrXg3y5I/ng/kmM5F5b5CQNoVSJITF2fWcrB34bNWjexLORuxZpKFHdiLSwGl69NmdAJSvXxOKPvwsaOiwVNHfwXnGGLQAjjxG0LWEweIlKOPT/4H1Y3coYuif6Fda+QorPP1MYL2VNeLs23TwaeuK0X7+qZ9y4dGt7+PskTdbl5HwI/ARodV57j6DXpl9V6ZjcMGcCdVmN5j0WZ5lTAAAFWcRR8xFUoGEjw4nfdFEUNWZpSi5hFBCEzdoYzL8P6V8m7MEEklY4S1YfTypxfgiqjgtyVxy2+Pbb4qEk+3VST8/gYL3iyibnODwN0p/NkDwkoV1yrhKUOb8Phg4Mga8NZOCMO9rfcVuBMD9nBZbNMA5/RqyM/SAF1zpfqIyAhusdeDHxOaqMu0jE2nuO4G7aExeY9ZI7JVUTzzR27tww+YpXrnRvOhGjHNdm4BrKtVPsU7DaHO6cwtwVOXVBBGA5EKNTQTOjWtY+rQqiHVlo7oAmds9bg9BPPUHIUc66zuCysHviiA8giHVECXV0dY2Iidu3kWHWFuLycgWvPa64p0uirpWkgD5WkNEm4/zPJLoaUTvW6UUbr96zwbYAAACWfKfNr/avS9yHEcaOO9AGrFhIosjNvXT9h31UfDjzdUM4G6FpqCFpRqVudToLeCWecXg3EzJ7bNCcmgAADvR+I8Bp+tuJuMcsFRL/MuwBYfyi6YljrJS9vBgou+Mwq/gjCL6N52WLkJilTZq7iHk0tOEDgO0rAZnSaIaM4PQgbVJUFaPjcpImsEL5UL/RjG/8lj5wP72gTHtpAdlE8LQW3Od0bdQD8gc4pABe8x1Qy8eMJrmWokriDY/0U/a7CPaRFM99D38dCTa30ODgYjVq+zrdXVPCa6DgBL3KiZllPOhlEATgv9fP+JIifVt9at1h0v2N7mY4JIWgR7Ueh1+IZDn/TUraUqJwQpmT4EXKm8QhiN0Hi/Bb6oFrEpAGRqDLkSz/R6rt+1td3wG/shxgdfNFzLS9lvIhu/c5QlqIl5b0VCqw/zE0kWQaF5MQ89J04dsgE2q/OgZJxGf+OCf6xPRtHC06akuXpb+MpmKdt/wKTZL8ZLgJzdzEwH0kRT6IQwACRNnxpWKAR2jQOuzthCg3OnblpWKlYXcUVThNpHTTlMMKOjhMLxWLjDFcg+bFMmI8ltAAAAAALFmcjq30uSpDD1EKpB/p3Jfirg3TTWARu3RbyUKiBMBwxGEwqjdLF9Rh85EcMPKYx/2bh+xKtfUbncqksjavo/Iw6yYHGHZTTN7alVoOFhrgbkAAAEV98yWd5tTZA4iRKvt/L9stTmFIAsSr8FywxDAyxEsEEX5c/E5w2pXZ59vVYQ9nCyMjtel9N0likUqfGqAleinvV3SSGBsteaS6PL4gSJ1ZccK/WodAjX9j6plx5oXJroYqPGjsJj/3BqYvZkOTt5wjbMjwy12b0W21hhvohmHDQOoxpOEUWaFFT+HkyvBcShW4dDnm9IN9+S9/KEAL8eEpjNT0+3B6ocQUmvyOAzfStGwh5rlWPNCB0jU/td6VW/Tj5vNz4iIdvSU9abqgHtMh1QCXPqwaHAUjukBFnXQJAzatNnh4Cs7SWRpgfbzkENAQBMK6jQdqDVXeSEl0YGWk5jECXwO5zEj/to+2xcRP2StyJur75nuoYpZnfMchXbA2nHkKDNN0w7b565pzUKuUAAAASwC+xTpUhqLHP1akBlxc8n+gZNWGn/78rf3aPe3AL3hwulFZxA1r8iq8lnZqV4sTrw0HurRJPqup1jwUXU8cyiq86ZYfPVNUKD1tG6COtlEL5P/VCz17v/DDn/AAAs2boL1r23BWWoRKj5iHJpEgCL6G4XKlELLHjgW/mJtg4EwIbFyJbMV7sq0iOXkkWkO/B0zPhutArBahoRsE7xsiZ+V9Mnzn9eF0xzstyrdLlD072P/KK+zEhSQno/n/IL/HYLY5RQ0SqdGl3XcBcw+uwQ7L1MyF+wnVB8+bkMPxOk+9Xk0w7ViVV6J9k6E7As4ym05aEU7HhufU6lC0xIqPrOcoy/GivMsnUcEryYeefvftAdxZiYkABeoXANcsEzXYMRTTRlQHNnNVn5bd8JwitgTEAc72G1sFow56SD9JMwGZWtVB7x7U0kBcbuE00goSP/Iqx/dcB0Hgt0Qrn992NT6EP6fmv9SQskVrA961XiScOYNhasJUUB/WwroYz1hq22tC40/dK8CW7PsgumYQulHWV54QryLO+kAAABUIfYMGWw9yW4Vc/W9jN6JDjPWW8kkbwTiLbn8H7+nEE0u1vdywUE9zZ/EAds7NXQUYhJbjAqaVtS7IRPluSUHJGRcJJGcPtfKmWWZz9XSHpiYAABMhUVznzLc71WwDHnseyEqXvePUaJB2WzDyrQfVKFv6v8EdWc1lm1pYOFxHjB9n6YzjIwl85DRQoFJqtbpLDceJw0JWlkupwI0t5FR0sG0K20praqrXf/runiFxvHGyzP5xSMmZE1/523qxU0kTk6i4KU/DQcIv5kizs7TGSJvmHm63Px2osR820br3xJvaXDNL+p9B6dhZKiKjWo3OOXd/xrczbb0gAAOcH4xxJAIeLkn9+SPJwR3k8W1W34bUMHXlldkHcdWcWbwesjHUSsifc1gk+pT1LaxfgqO/DcfES0OylyWX1BN74Ydp5vbuT6C7v+dQAAAA9Nt5P0saTINEPFzeaR9fM8Dd0p9oO1u826wOtjBlfOanNAwyuoyE6+fz9ju5SFACTkcUwsGoTdnaySgx6WnU5pzhTZR+kmiTt0uE2/aLFrg7gAAADFU6t2Un21saRl8zOo6Zgrulm1ExSsFXFevxxtk1JMTxRXyzg3bHY7dD0zI8JcqKEQDPoygSt2DT18Z65ui72Q7tVmCSTqxhhSen+G3arU98QA7n2ZQWEhCNZgcBqcgA6MRN/eLg8JxELOlle7x6PuNC8vIoCzZNDEKyS47uZG7kUnUTa6hXkXEImZH2Mcaa3DWRbs8ld6zJwD8fmNjJO1D4XgAANXSiZQU81ehvnTfv/AoTrYejLB2K0naVaeNv0VxdnFBLxrQcXWLYSIKfQ3lpmliUJFu9hVSQFQtcgcCLD5tmZVxFOct/Ni5epv+rjqXtLIE5kAFoSBHPd9I8LrFQER255lIo/a13nlP8cWW3UdzAACELH03aBXtckFGWW/U7QgfZy/xx+J5ctb/IqV+XkaC73P32LQ3rpFQ4bEAdfE6PWFHEH1ptWVdEl7RelXkqSIGAYr8cBFhVrhZI0aw+fABe+yUp5uYSHtg44LkvQerTxYDQoVxfb/imKwTFvKDaCduLMC4/F0u5dVAAAQ0ZPUQ6+UuK1ikNtZk8K3YLcSuxBAhveTGwMmEZDXd8pYW7fCj+QTU5uPkg2pJwfW51Ye8dPlzHfwwAlr8TkZvurNutFw9C7Lz+xu9Va1ukw7cfmz6kI3AN6JmiR+zqUlbEvAW7LaUYj/ofVFrQz4Rh5ExPMXEoXZsIsHxxdCi51N3XA8TXaWw5IoN8VSjXzGMCTC+YpelZcrAIjjQRI5phQ0kNMRnQdvdvSZKU7USC3wAFsIQFAgE0Q3Qf4AAB6weLZbA0TMbNajfMLRFOdDfQrf2cGKoNp5gPlslpSY1G+9t6FPol2qdxShzKU/TH5F3xKe0a43aQJ8i7XPve6c/3jkxrTbazN6V60MjTp7n00J5BUThI4zlQJ6HQ7wKu9uUvGOV2rNd5KluG/iRkuPuJ21AACBaeYdTA2wXgzhRE793EB9EBLer5X/GIcvkoj/bSK8y5Ob/uzav8j1rtxgMhHRcFwHQKx6jk96MO9xcLSNaYKSmlIu/wJLsuq3vLiPI5mq0hKlbd7jZhTZGObrEqQN3TZdvjEb79dtlXt4357g5RwkfRS0AAAAD4O+BMx/YUDQuer551B4pmbIes0yj6x7uTR+ADQe6FIHnnuBVaEHm7QDH/ZQUnGBMcVF5A2uqDDBfIEUzxN/y2+AG4AAbY0sU9QA5n3pygU15OJWGfsSVWEfy2TttFmRbncWotWuEBg085/0Dj1FWHOpkDq0G4duWzPj/zhccNdf6WZcst1FSi0Od6jaNyoCDLjUoeE+drl0PuoedxLfCAHF+eSidcSxCnfDXb2Q/rrDpZi/XSB+SOQ9lEMTQqltaoLaI1HyrwMIBh58NWGikxpLekwDM3itV3QLMF4Kb7JD2SF9Rd2fNfSNyXNPSadxL9e3+p8H6kQV4h/aKy18CnOq68OeqOMJ7wTc8sEBCR3jFa1+d/GWQkA02AAUa/TD4OBLDCYX7w9NZk4IoHieGudtKq2m+SPJF1Nho9wHurLuswgoEtkvp8kLiM+zFSfb2/KWHRtZ/3/GgGdxxKpGH61jwa8nQH0K1m2TrlO8ZguWWFzmhZxACcOCrhhIB5SPdyDiXqOc8uepLmQhjLhR6qFgRt5F3rvwB+9GNYgt4O+dNDk45tUQn86i8GCCCbXOVkOaKuE2aN9t61QWrB2Zm9VVUes9QsZrohQRvNBNvpyXpm3jZ//WyGmQE0ibF7CDQCDttVtU7ZqVZBcmjmEQQm+8j0HbouCVY4/SDAAbUUN39id6tyKlZK+zEDiBD4WwpADxXNy6EeSkUkbMmf7XYAbFBTiJUAhGm3XOP3SsJKHl+OxOObGZmTzhWHNht2HqnP8f5qLUsK9ba+jxAYig+NKmeRHLU5tE5pLl9wY7LNEo7LDk9nHmhqMT3hJcIDGQJiOBxuHFk4ON1EYE7uQMnueYmLPn5xCJTtt9ht7K2GvXbfC7JFLecJbjnNYF6lZqa2+agXTvhOZdjHWeSpi1o5W9/jdd/kxdI2MF6PdAI5SAdCr5PHRSHheHSKctVdpP87unQPJIlyK4jg0T8OLnMyN9v1d3nCi74E5gZKHws0jt6X3hy9Zl0LwCOrHe9CrgU+1dw3dTgAAAA7Gs7ZOtDqlYOLtcc6/7/VB2dfc0oilsykFKc/36mBlRSnWGGFrvsgT1nw1rpVTEEJHyKyhpQU3q0gJ9mM5M+c9McLj6Xf732XQFGELA64RK2IW90+wTpwlo8inbOYrEawnQvNxlTrJUt2TKXgJDOpiaHrrXGWDRPHsE4H+qEfooygWWWRB2aH5RVbsoDRA4Mv9lBlUEGDYKiNCdWeAQ5Gmjqlv9kPlSwDL4W5crvl6gw7uDHN4OVUNZ2HkFPE122mTFoI4kgiELe8U+z55o9Akx5Z2P7CImS7MH1BR60hdUpLEVB6F7VrQm2WPB6GVN9XX8AyRbIvU3hcyCsKDa0y5/oGTIBwlzc7c1fwv2J/R84zUakef0tVPCYJLVp01/s1gAlclYo8qq8qjoyl8vs7PwCJZuxKI1liRDr00SNLoyUtzJPcI97uoqzEgeSppKlmxNgHpDiNeMQna4BUxF2CQwvzhAFl9h2qUMBcWGg1pbV+l6kqhgUdmy2RoRpVac35WacCtzS839PXnZzI8ckmHx9Yc2AS5x3JsqyMAAAAAACU7YV0UsBAAabpeqUCuuqMVaHS6+vVee854beL+y3iTwYBGRUkhFXCgIvKnPkNu+FmcEeqLz4GgswB1Z3EZaQ/vOebyLDxgPQTWXgpxQCeiscOurnpJjZqWwKGAAO1YLFGPaFlqmd37OUSy/crGh5+tYH4MICVNSNDMpHUbkUQYCU30UGh/jdQoS8Yot9sfFu1zvwoYQvmlyAFM9fcwKm/YGYOXLdb8+Vtcagh4y3rN+Zq6rPEW7Xk3z6HLTMCxvbmSstGCPBVfAIgG0SM+Rkc5Ij3Bi+4Bt555JNAe43PgsMkiWw5TZa8qzFyd+CM4I6SCLsiSYP34cH7IJrsWj2Bzg/cUmuP1VsuAGV9ZPywaoYKmDQRi2PetqY5uzlEEGjaAXv4iyc+g8SjXQstsgWdbbPP53QclXPx9aTc/UC6MfIFvAMGze9EnyfPae/zxkYJtkHlUdHnJmpPMbwmmNMzQlC/auWzqMD3pcJl+mM2UllTFNhB6duTbyVPeAa4VI8S55BhsJcvUxVJ6tbR/U2sOkHWV3JDHnaFyrccytWUMpPQanWxW2srunUtZFflcoA53G6ct4UlFfJgjImMeAAv82uxUMRhLISUYP/+lj3QOdIHmzZTzN4U4+7FTRb1/8csXfgQYdoLIAAAeXaAFOCzygSlSoMOC8S6nzLSMof4toZa853tGZqzgi4Smedc/IpuAWZPMMZJ2fqQV5O+KnjfkJT1PxEkL6WoyvuWPCbUGnQ1/zMSKtLmy3BHYAASrS6e9xe+tU1cGwCYbOkq5md4wRi30alxnejLEESgZFDmaLBGP5cJjpVSjn+jsIdEWXaJhPcLKzgafEaw+VaPqKh/oz61IR1JRYwUa4iPlyP2n7pF5Sdnr8h1WV9yJqfwTA3USN+YGrLEGQR14U/l78Kf5hhegAEYar7z4NgWvJrGGAAcMmYK4LUMyoOKqHgJIkAwNgQsDfmz9O3WpN9NM7kqXyLaRJTsIjOU1DLfM3wd3K93oIX0uwymNRzpn6q8x+6/HcJqdbAzpKcjPFxTtiAs5o7Fg0CKbX78oBJbYfSDmVeG6Zb+Rpn8u7/a3AeJGMXBXhaHD44ZY62HzM35oHnTyCbhwuMMb+hCNjabRfCM2cfmt52cPOFfEfQKhzG6vX4JIqsrFOQOMiFsGrzpsTwiAHOm0PxHPiR/a0D2hLnHBn5PYqi/JofQI4qA8XOTDqUpBGZz4tjOxZIxQky+5Fz77DhUKlOyJfAARdrNVAFEB/RGqSgWZOD3A8ZxKVSSSVsp3Bg0eKXdDwhfTMIYSFQL485kICtG1/LcRlwAAAGHjXnhKlf2ykunRB2k5rcUu/NpA/oGpFeheT6hmligQ69xHN2gMn+ZaBEKL3DJT4VtBQ1prNJg6tkEAvVUFdOoANWwP/cufUTxroAAAzTTz0Za5PxL3iCdrFLoPSXS83LE5qfNd8tKgq1JRls/HlA258vMxPaIBCsPP+5KlC9VNlGg5nvXYDUuT29BsiCPBLvh74LJYIFUu1jEw3OqKHNQR8byW9aGr09noqFrTe9I4D1iBDzxpEGv1Tz1LWSVuGAZYSM0FwQLHceZ2ZkN31Q7B6tUdp2rdWGfFwYd0skqhBLNbn8NVKzd/vlj5zPRYU/dogjQpcVRu/PKHPvwaLE3FCb4rDWf2Un6uf6AHgwzGUmzPQHhvKTf58zi34ULb84ThDPYQww1h9U3xjD6qVGdltNkmJxv0tilft+P/i/JPG4PSRG5H71SGMo7iJwsWb3G/iPb4/+MZExIK3/iVaG3NoU+dFjuPm2qwewVJBeB8KsRCsBErxcMV64TSSHL9VmnGetYWOsCjorrAhAhKX6R8zNRhpRvgK0+vUFSTLvqEz7A4GG08JfNBapm0a38p082NL1wRwUw9XQ9IqwWJ72ugJbHV2gaHvMmqIg8aaP/QpCopUyjtG7mjd8v9ACC3PdPcRRt9jBinZsTj474gmB1fv61Cywcw28ca/lnL4mzWWCIV4TxldXyNOSGN4b/EUzHE7i9tQNUt2AAACuD/xllewDEwtL3x8LDuhe9j7lQMqIB2LdZGFRPDc/kk5kACtxgAVBPZopQIAKfS3GjiYOq8UaNJlbFCEk9rR6G9mAAbzxWZvD5Ruy9uOQv2roDiF3s5dNP9Ilf8Qx/l+r74kd098wOVPq8ylc5Kf39qjwWVvkEGR/kUrlDbqK8WwdxcKPPJkVihzNonLf+xIHm0NbGUzJm5XeJT9wNWqw+WETTCD9JlY999Zs4yUnUj0GqgPcOK3zRAujow0QTelIVX3E2z3tkRZ259wvD37ryOEm1zSCdIcaoOrMRgJsywDt2KV2j/KHjKXmUssuJoYdlZ4lcTX+KdxxL1LAyt8RG1RxBj1L7672BVz+UNn3hJvIjG0+AUHu0YQ/TNYoP3JUJ9ONGrdf71CeDdfQ72ZUTWFsqrPZXHmQQnhW5I3jOQK2stb0FsFmSA2gxxnVIThFCa1pC8QoG3V+wSTSBpwV4QMdpEumFT3+wIn5iBYwkieixt4x7NLlzsFQ1+tpLebqg/zYoAhdbGExS3CO91G8Ijyygl4sRnA6qAxzKIa7atR9MxwGrrGA3bvTzx1RgUTzqfSAF7Q3fbZwTaIyKGOQoCs3ODWoR1TIBTKdqH7W+A2MBO4N0KP0sYGKxTD61woV4i4xsHSqxvPPqlAdHERU1C7HojkF+hU9xliGAdtevYyZSlJi1dcTzh1Q2juc5O0olxPMevF3Ih+SKYsbRAK/G3JD6cH4BHIKcFC/ZX9AAAClJQuhRWBYJ+phsabr1cpmc0DtfFWHjEnppq/By3+/VvCywuvsgeDYlHIHfxyifzvDtBDsZ2WPcPBvsEIeyRsPAvsRgL7JUUC/lkGONljatw9c8hij15vlLBEAFPrOGdxHjoAlx/ryLxrCcMVD1uQPfA6XLSRp3fYxVleKSyEpFjRUC20KDwze2dglrtN0Y0Q3tiRV8DOfzDQk8LV5eP4U2ve8ui6JycMygS9TaJAGt9C1rzdvcNiTpIdmL1t3Np7JvwrNR8Beqbi+aAQ2vOczRSdS5mvalEbsumK/e87MKHD/CkKDO7EyRKbIQt1V/FjI5SQFB8Bwzp+lai2PaHeajv/+Odc4d5A34ojO7xM/sl/GQPQ7p9q3uGuvou4pFbHVhLrDExT+U/ZJ4jgYDU/X9B13KbA9hh6EKng3MMJ6pj7VcF1InDK95TEgEf/pw+myZrS0MeA4sMxpMOJra1ST5M7xxzPN+gtkCb/jvLtmwsR0pb8/G1DV28ZC2nkD0a513S/UNqsGOQdgwV7v46w2ocSCD7h4h0yocSOBGqBkbnGp4JsrZMbDg8Ud+9BinlzX7I80/MEhmOO2CO3xotytlpF9HOMXrEG0sUz6q8hw0a1WJFgRBzgCl2il93g+RP77IY/FRHAi3fD+9yy2FIwRwN1GvyWuZN2vGlN813wkejqM7Rb7G9nb8HsfRHApM2rKJxEkX3B9p/LAy7GVJMmrVVkwD5jSCde6r93RwZ/lM0P4WpYQ2CrvVwym+azT53mssBPAATWUoTWYrDL5e418i7shpfV281DhJhJ6UJPlPYDGaMjA/zwyXtAkXx2UypgfJuELAyiAAA8J56xknfcubK0eFM++89H1VZ+YWdMhSDKykNvjqoEt8Vkl16hFlm1NK6Rf0CMmR83WfEHK+VB1gHja1du8+duUdBqkbTQ5hMqy1wlLkPXD/T/7/0pTnofBwLkhRD0+AAXe9iFFfN5E+03EMuiVR3Xd38VqlX05/rzlb7bLIE2IsfODN0OWVB/P0V5Crm3kQ+xcbQfLErHVFuMLwbLFTEFFDZ8+PQs3hGdcP+QCC6/HzXf6j3A5n0EQnpa/o1ORX8IMd41H4shMwSC6eM8DmBPApux2DJkEsQ03XmKjOXKy1YiZfABDSmuqvOK7vX20066TncdxkEWnKpS+jfIRAyIhd1Hk3H3sfHYj60zU6qupNpIEBIJQD78kvdynsWG2kBYMuBcZV58p4H2Xz5DVsR+f5mwm8cO6a+hLNAgBwt1SwToIlT3oZdGOokqDaPcn+uAraoAaSrIxdfUs4bQQfg1xxrDSocP83BYERfo54fNpqTLSFkQaHp8YHwf4Ijvr9W/GZVR/Y0rt4tt+6wgR4ir2HmikP4+hAiyUmJX1wySgrUw1pMwIMucUXNRZdb7AOfzqqAiUYYGRCkXSMqLmtTHzSYBA0opLqItPYhHBXhEPva3PCt4vz8pD3p9s6APdXuiTNn39y4uqJ3Wd82ve/a20O7TWuCU+XaFvt3RbQHiDXelZ1EPSudQiB+WH3+fxS4vQyOVu0ucWHHiKmhsaL3anK3kJ3q1GSUEYXG+R0ebsxu3aYR+vyxhGrZe/I9bc74KHsQgChFm3/JPv0ry8XERT7ItI/tquyZTlqGH6DPczPWeuB1qrka1IEmMCS7XuIIAABGUmWpuydRHxQnrjkpNQnv6g6BTFI7/Qo622WWpgeJDI2FK966ryA+EswMMcLU73cSpMeUTvQ6j08R+ZD/gGVWSdrCUGj3EYfGIe3ECUZHjisL4v4KSfw475oJwwu5YKBAuNkespyyA6fa4P4ZCoXan5nsxE11VK8SxLvxeX9twrV3GnJcoto3QUS0ezLXy9cHx6EYN5SQ9CUh7AfTtEjXrBpmdg7MNnH+cxw7DUGnZjg+YmkVV5qhjDnNWeB+SNqr9v+CwY+B9/4W4iAc71yavynKyLFjh06Shc6/R1iXUqH0mMK3w0UxiHJ/Ke2gQa9NdNpLz3tg1Wgi34lOWfQq/StwLtcg6gCbs5Nv/YM8RpHYR/zO8qwfDEAyz3C3eA9Tqw8STf4iHktioz70q+EnwtcnAxlqm9h+5Q0QeSBpWw5WsqxM9HF/xgdffJ4dtLhleHg/z9Menc9Jioqaknci/O3syXGkb1Ztd62aDN3jhLvyDrZTjuHOzeqnv50Nl03/P8lCIr0Xk63G3OYM5XH7lUXcQ2ZbXKxpjlg2De9Lez7q5dGrdir5/n9OIXUhowrdVNYPk9LBu5Ffs5t8EX+HWoQEkpt6LWWayq3qIRDm3x7h7gTdl9i1zoKhLF+qhIiUEO/oKt+wd6/RayV3ploPhnwBsERF1HHlmxsZyjua3UmqUOjD61GBkqpPbI3Z6bSQTpUQtGiK8qPqhYjP2IGjALQMyuUTqotWt59BVD64oXhYHuMrqSlvgABhJ/fAvzHmWel+DSvhl9FvfX4U6cQxsu+rXkEHq4iD3e+PcHeu5iOt2J7kDJxXkoIo0qNq04oqXr+VMFntUfu04afoJZJDN/0XCNwyVW7sCQ4hrbczigPlwy0PIldsIVqsaBF6aeuNOJPQWf/c1xjiu/Oq3f2WTqthhoNMnGMyS0nVd9ITUW+AD+8iELwBNUaM2vC/ZN2aLdiY/oKb3t4G3DUMTkUEmG5OUw5B//WQJjnitnomDIEzNiEiNJAOPrh+hOmVh7nc7xvMG2Hg1yTn6eJN4G4vX4svMUwfHm6DYDESJND3wnxA/Hg3Dvenpr4o9tT9ej5isq0aTsNwqRDeoNlCMfc/B/rXsk3d0U5U7iAWQBjSZca4fFkXrLiKIVcpQt7chM9/+aILkWJxk3tAmFS8vAcECmUg/2hNpsMe6E0i915Fc9CG14WZgRLjWBdHyi0rPrIq/QtUspj0gL+eY5WZjXlHwQk7fjastUX7DcZgRAjZMvPtqq+68sbYeIg1ZOUW8O7C5NwAu2oLqPMnnJcUHZQe/gRcOeEX884mFIiqCMHReyUOxfxi0PtDWGujOSa+FRpkWarjHRR3WqWi+nSOjZ8qel3jfBaKRGOShFFtxx0w8CI3qwJXZKOe/BRpcDSkL7AAt/V9FwchNQfTpLUk/57WrbGckr70FTRzrjsyHs2gzIr6F4EpzMF98XaH8nGX1UMEGyeONda1AA/wWxH1RTr0ZarDpJE/iOQKv2ma8Oy/EQmiLmEb/vt4e7GJA2EUT9lNFGRbjeNaAyj6CB9e+slSCeWN3VDDd1FpafSJQJWQmpqRyTnWcLgkRGyHcOJP7En+wbXUeDjdjiiFbPplKQxobs1D1XERZhBZ+vvko0jwTpanm4uDXo5VXbcmqpkVHtTS+KMwpjXJ6u5IsVC63MXdwaa3fHBA61ZCPd0Y79PK8/trNiS020bYIGbR0DAf4Vq1PW8loN/Fv3XSS+JD81AmEfThHTg0+/6bnlzVPhgeZssn5jkbu90ZGK5WFzlsvU7vGE1H+xyOiiyuONNdxppYlY7CUrHoQdseG/Xm/gxRB5ybDXtw5J2WhhXxu8IWhcDiO9Bg+WOp5HsQvNEr/lGBiMwxXcv+L+skDPqPHQuE4zWI6NK7m6caVzjyFhuSDt9Thuu9Wke8AaeknkaMupUyXRG2GzRZYwKi4DIZ2dPO/wC/PovqSBr3jzwBUX+ActVh6m+/KLII6U8zmMMUtbYnXlk8fbROlbJajraWZw7lMnc9821YljbeYkshA2N7wx0fxUggzxIj9YWeMsiM8rR6e8GUnbiKZEuaR8lKrJ6cdMOKHkiaOHgnn6SPH3X7QBabOqjtRw9LsZVAeSeqNLby50ZDiJrsQWaiI7KqvdzKTe9sESelT3aPHSHTDQ196UQN/rtqdAiP3qDbQFeqheg7iv5s3HrIEyktJiYQVtdsABCvKTmNKcN3xRxUoKB5i+BvYSOlsBUba/qb8rk2e+JfUgDEGTNdH4OJOEkGlL4z9myc1UU6oUxUwiuxAnfsZG+1q24POMXSWunIoUDj7p0SE+Lrj0Kk372JxqVsyD4WDcQlO1fUMqRuFxcgVd/jcKFfphhyBRgdvBo1ZxHcxsFljhwj5HozxEVrNq3neTbnSlUVonqtzUUWbm/n2MkVoqNN8NXR13bZJccuiuQns3CK4u+E9AzUEo0t3QrzduHZ4Q0J9J1g0yayy7zbaJ3mxHtPw48Pi1K2IEam3ahNj+Agv+ksjXAhpPtOHKWKIAolnoHv+pKjoe76nuwWiBFK87ZwkfzCyHavgLL4zt2qJyAamjXLa/yrrWblv834cD/07lK4+EJWAvtqnWzxQZ/aoR0Rx1Bhnh/GibDPtP2SuMavWFFEz/oBQdBA8u9njLV4LaegofbPtHzzwd48hviqyvSlngkh+0nqOuhYEdN8DIOq6XWVjerHC0HruUMY5UGJFFA0zziINz3+h3OCirpZZz9cWXNyxJHNJWyzie8Vv8hvhR5Wcu1NzDsa7Qq69V4osrSiIyhveTZRSc3hz4dmLuEizFNZPfEyUiB6gDgbc9f57hraX+PZij+7LgFQDzIp7pXf1lyr56jV+Qhhi+FGWgHOkAfeZw74po1uCHvzAfFc7CHqKC0B4jVrn9Sr/Evmqbvnj9BK6U9hTyXX/vFzEVESRyIF2YYcvY98rHc0Cxd0d7aWQuiHtExm52kJCROb5DQeSZou6z3Rv48iwcSPgPmzLJu/+Rn0Ldf2hlOblLH8oglVMJFVOeUCvOyIoFvBxgNc3Ywz+/B71pSsX+qI0NqSyDaPPsAqbtR5/kfxHpgzAgtUJYWg3Jb5avVzD2VAkchAxjfcO7LwlA1kdz1OTZtLO6gORen9DDSqXYH1bURs6fw/idmwlMxwMTxRgYemju0eCL4icaVaMS+6GuNtsbFNDfYnZikKeZKmga/CVqls38xcBiuPidqskc8GnEZDrA28JLYr/IHz1kFt7VxJjgS1Ds4iKH3FFsC8EYNHbWst0EuVb020pY0vQ8p5uxzUV29Q3FZXYSMuyQISW0knRHqc8AIbECykdpq1ZtbiLlFQpVNYIJPwT8skDxTgV0uuh4lUk0pdEmgMO3VRp/OKgfbqNAxXlU6CPxPgnkFWHujYQ9g6/qQm5IULCU4k4Nulw+4VqCxOMvk1XrVDbfcrw/78ku/70Em0vS+fPBxo4OjJVQIgz2wDohOSffrPmmWbn11svekkWfFIq5G5y8lFQqwD7Q2av0ESc5KryA2UIJoVzr2OaItNJ0q04jPV0TiCi7Kx662jj9/7ko+bD4/zwFIMJ10nkJeSCCQiHZgglvwlRQxaVn/+otkzFYe3+eZnpQbf2i9byMQ20Q12/NvfHUVK0DEwYAgv8Tdb/QKJn//9+7NOESywp64jHWh7JTI3L13sIiL8CpGk9e9QUcopMuFVspn0SEj2Rkb44Vz/2x9ke9uGs3I5Kl0n2Qh1S3PT1vEL1dnmN/3+1FbkC9YOHC5gS461YOGV15DoQn13jff9lSoFi9Co/ArR9oBJ9MPnU4zq0BhRVU9p1EB7yPxbh/yGI/GjlAkvxml3IafyANNO7y7MnYGPFLWI1Ex4Df/M5e0jYAiO3wh2RsGEj+Iw+PZoZHRkVqNtELCHcLpihOCehlRxzj01Q2Ysj8mwNPOmD5glnVC5AddZN7UVnPVzQOigYd2syU4BQCZTHbzkNvI9A63+nV1OzDlETY+1ZCKkYy7Oxe2EyA/CnrdX61xq7i2S1n3Wj0IPNQFZBySJJ6ZpgGUwSVhqxZ3AvUntbWOrh6O6hLWcnA6H4R7YUVjj1G94hg1QM+nsULFN/6c6HPFoik8dbIxlBD3+Xt253zfe4zEopjAV4OgKSHlE0Loa/chZQvYJ8DVuU/sS6TQL/rijg3uml4xpmt5fqg/tjVBDCtv3quSnwtE8rzyA2iGqbGborBWVTZfVEergQEHlW72tzrH9wGuGC3CqZaDxpktgA0teMGJ/VJPA+bFS0uLOg9Qqta16OcR8Tfy3pnds9xcwQUAr95LKVm8Ih7vz3Tqfg9X1gbCOikOXVNWWbh4Vd+ktRWDpo8oHZ3BSaRBzXkXyRh9B5jVR1syRhQJz0exPIUewxpkU/ONG3dGk58C1WaMzR/hT1NNvDYCC9wLNe21sbHdMFtiTyvthSCN80k/9LmvnjNSW4UWYbqHJ1bj8L9qPLkBUy4qjHGDbdzA+Awm2x5Qv220dryCq0utNY+S/F56gCzA95BJs1+Vo7ZRWlCVyEDqAqrZ6NXrLlcV95ngi0GVBMcfJ1d6IrL+n9XwTKObFlRDl7wFkw76p2wQvxYI4Ay4rOkLycTmWg3Of9cQM3uy2jc8KqiTvAa1RRb33noLemAwRzx0AwPjHGSIuL2s3CR1d8DhQC2I+x5/9pg1xKW5Lnp8QAifRyBH30/STTg8xURy+Sw2SwG9nYUs+103ViPQZMvjT9MmaCFUUI1rNSt//TUXH9pmPkOpMre9KIP+rVG96hgdhc57HFcBJ4SAvSd68yysUkG1TX702rmpz4yDC6oiZaPuD9+2qdBTMqtWCa7VmYijB5+qHR1TEXnFvXT2LILyKDkXhkKWO+CkQGyVwzGkNnGAK+efR6tLZ0C//gRCuaimVYFPx/DPKFVEEemf+Ntrx2KBrAFkKkhdv1mobIMOnTjQqRRKBfvzbXhszQAYiihTgDAnOA9420CwaRhLGXD9ZDy1anLlNGC3ZwaNlZXqcj8A3g0Qg9lUYfZMeec+ptkTfBL3oBZhyt5dypSgHHSIWFTnh5EOvy45ZHrLV3n+fCWuYiROg9aU+kAWHVrEJaZOrgYtLfyQbgVPKqSYSKnrOULNugyJxibkLY/CmduRyoT2GN6WV4SwQ2hecNzycTyYkxgpQzswfMrpxUUggU2K45JEKh9wKGNuQI8IIjkfj9cxTLpBWYhohfKJPSIXheOt2+t9jbppTEa637MMYX5uzmVQDD1G7nTFffbIrh9Z7Pgzuui6cV9o5OxhFQ0wbyLAqCkQPsHqJfOt6yf9OvoMbu3jJOTUVP9HcB5WxYMqggNlKAncRACDqLcm4jYg/7K2l3LgurkNwEEpjaDBJoeOrgv/CnKsaOcSvpOhxnQ+tDZP99SErUXi3iK4EnPnjz2yUgyKhCw4431qrght/tQJ0yeLQitTvqnMWkiK7JjPj+PBC1ypGjc4/hlzMM3eTWI3M3/81WM1KoyGkrU6LTosCAl0XBzlc1tCDt8U7WCOVks93tFyXaaF4QDREuvyjX4faWgfgywCaq9JEaxQx5LULTmk5oLNcwSrUDPKP2MlYSGJUpDY71+jTxvz4quQDUvtC05aOJyGvzKIenQmP1ZzWHtKcWD+GxyX1M0TNJUm4Qk/v+nxwls6RI9PqyxzNpiUGFaVf1vPd6JZGM+SFQLF/+tIaJSzCL5Z00UF6reOmD/cRssgnzloiJPPsnYkvJPqzAEqD84QhDssHfP5I+Y7wzMA1tdeXrwHVr+BDWconmkSdsDqlCX759D1HtjAWFRjbozq/B81agsyxfl8ykBl66jTq3cNFZXmQDFHGbSMEgpmezqzFHHW+HhbDKvPfg4yDih/VE39hyMPaphf0+z0WSkYIHvADBYitFP8gC44WiOd+x208tZ7pINs8HgvT3H/JoIhKdSuAbzabCO1KTl9HXe4VKOH7NKD12lGQerBEC7PY5sLpFQBbe/iuRKQt4Z8kKisbWq2Gtl67rmUTaf7/ymb+RWci2896iEXsxUEiX87eZ/8ErdNs0IXWJ1BnzrcVnmKAX4DFHUnWdaKJ+1zib3OYEFqmPipsAFYSIyZPWeUYdarm+CfdIFbcIwGaakYPoDQRjSnAKNyEr6F4m84MfoGs7V8D/tVC3tDfOqZOZLswa6q7ujWclNKcfCxnpwA7FUVPZCgDphNFs2oK3+OuMyK1r4Ti2IorPZ42svkBz/UAFKkAZm0772TRw8k/CZNGeynTvwP3W7glug5jgYPeFI5D/7NPn5ihs7Vi+LelPqhhj4lxq4vHqecrui7ZCY4juRxq/NNQLjWQu8L/9Kp+uJXab/ifYAWcKaMRJXCOodLOpFGHpPYcXL1hqrMLEzS9ugj5FEWuC1oqLI0fauFl+D2XCvCty/GH7NYNq3uHCAETnP6TDFU7xVs4nxlwP5c+VkH55m04UAJ5fx/rMREeKEph8DdkhxaQYk0pyeY9Q/VwAxZs9s1cEMw+axKHvM6UZSZthOXmfxkZ9lkK8aC8T2gTIKT5bH1GbvigZYXVOjS/9C2hVtB5uzEmwEjOGgZkcahMqMjT2zIIeuFtss/ld0joXbrIEnc4zUeczTse+XF37m0kIXN5IDnmvD1eQl1T7fZlMwoO+Fqd6tW8m2m6/tWkrjbLgBJwBtG7HSa0PVz2dxP07e3AjyCxqV4MweKzRoodB8aC+lv+lyOjCM1nHZuOMjkpYXS7VRhuSlm9XaufkVy5GnV3mgng/Cq3FNADaJtlwPNkTM0lBH5xN/z16riTejsdFBn7KDnb1E6cGwxRZn1L6wLH02X/YNU35VCrwEW190LyeQqGzXwAcGq0U77qjSNLwGNikz8/zj4OTHKb2kLwsrz5wHCUic5ldM7ULnYJ73w2iwDhaNK/RIUz3QKuFPr1bHBah9FJ0Eru/Ud7HAkojhTsYlzqeRJETZuUiaT8gBlHzkeJZeh2BGI1bkSnVZQ+9vcTel4MYTGHCJf1BF0hKXDHW+eBfEgNbbVdAxVEilE2mqX/CQKsQ0Ntu8bOG6iiU5lCopbgiCFNB4VRXvj1WEWMCMcGJiauQ2jUHVCxCPFCFo4BOulFCvY28X9WY1KF1do0ryYNoZbL286tCXFh5Cy2M6tlMQowsK0KoPl1kUKxf/Ddtkpn7r4bMu5YUCFY2iidk1wIHcodaxMjSlSqbWExB9pkW/oI4WdA7yBdziMKuxVI8yBR/+Tz75+XeDxQp3swzHdc9iYcgNPb8BllXvVbx56o02593e8eLxRVARxby5+oulRsObK3XXM+IJZT3Sv1HokHt7rtZ+J057H69mf/8vqYHFLktTTCYpksBm51bjoDXXpwhGn996iLkGmIaIGMofFozt9amhECpGNIvlWRWAFZ+3njxhbsY8OkwjweSNHMZ11wgZ2N6NfEwqUL6Iqs5qG6EGF2sqCyO/xagAQ7gDcXyy5lU3YEWsyAkS4XkUgmqaqZ+oIAFknJ2UXp/p06zYgaxz3c+qe0c9ZX+GfxySdgKjale455fObhafCdtOvXC2t8KnFpiCaIm+lVvV1gGO2zSfoxm3pTcKBnuBsGeivaChxyV0awnhSadMSo8v2hEDiEKYmEwzR/57TO4sg86BRXFjHQuFIcIlOqiom+bwpmNjJqVb4SIH5COblYDMIzrYXGDeu0gKj9sqBuetEXZSGCzAmCV4UkZVB5LdeS2ktqPKcvmG0ABkTLzyZTGckHKvdKotxn0WtWStnVbUJnlA/hDPilzIatrVJe0DIVQAUhWBiU9hACOfEh+UB5MLOh9twB1lNU5TOpkF0JoajhyD+w3/03ie76IraTGWI8Uqcv2Zjum4+JE1NO4okOxrFgK1+2IOLvjjz2gm7eaiyeWNjbYqwuphpOv2dqgMn1b0Y8CmJugJC6O2veJhNoVl0QUtuFXdmN28be0Gl5MU6dGPY8QmzIAGI8FzR3pC6XpiaoVK0mj7dqhdEh2VjdShKxvERgY7+nE2kjUmJ2tmx9PaEhP4zKb/ZovT/SCNVN32GYOl/N1pHnfQeQlgDLyasgotxY28ycuoBkWRnNcQsTHm623bROowKKZWljoFCeOAsd3d620UU0oAZuWR340Bld03/blY3UqUENg6VQHZ0Z2watPowntj3vi2A00nCv+eGXXbdVKuaXQSmOACQVGq5i5IFsrOucVJ2VJ4hyW/ZDGPcpjBP2/ZwiYsWDmJguW1iLpIvLvpeMRSnMSHzq+xMsXPMOgnJdKFRLSOX/t+jJ7h9jZQjYS52HRQIL1ZyzXO2PrlDHB/zlNnl22+xnOqrikBrHq78k1XG3Z+IxqUDtJs+XcIVQ+oyIHYPtnLnkLSrFyG3JVr4WLucD8m/LJZCPZFpmq7jifZgloqnGERuczgD3nUT8tXp48fp2acRfiWtIBbFkMSmjh1RNHSiKto1y9nP+LFlBDi46E2BFR0a65gadldGGkFpYiNFOvGDhMkra17Fsw890RTE+LBdTDwvwoaxDOqmmmNN+G6vgcrzORntafJBjNeZcO2hQiEZEkbneUGvcC6tMJdf9twdtTLcsxjqWC9CkxZNSqeQ+blF4gnckhWzdJCDUCKy4zy7CeSdMtsIBhrbm8NMDnZj4SotZhqgPYwwAagm+EJKYJkqD53vuLHAgnqMGVR56wzEpKIxdRLFRviwWAy3tcqjjIFXnrJbfcMiiiuuGPewFXRNyCo1SUtzDzTCFkl9ka4zKoTDz3gB3h0neiWeZVo50B3yzcNmz8fgkzdZNGjKI3tFz7RCo6OxkUATEdu0Hd06KZhdy+j/dgwXOxTlHEM3GtNJSWtTigx96GeRK5kuzMMAdZtXCCBy8sSt3aWY2AAcZxpVhPOlQT0wMuw5BsMgn1lFl+w8LEjg9n2qNxj0h3PvQRXq8X5n60/elC/BqEyCDsHwfdleKATa05m0sU4Qc8lXdWyyWbbv/t0VZC8YE9BuiUQ7c9KTShbLDkB/f+Ua2brmFUxFVGK3zPR4OxPdY9ZNttJL5oNEEP8BTcm5N7SFk+ReaBz1jnJ7FPIAVrqwKYVlrz/gHJjgPB8C/rvj0ADiEesLpesM+8ROOrUPhbX4NPSa8neEYcmP9NKnrHMdctYnl0etINw+hQ6hmnYK0jXCk4mgcjce29ZBP6bXN/dbcrFH52SqI2I47VxG2HMby+bIHOpPwoq1d5V764IoaPdloXYd4fW1r53St+YrufWTrltlm7btY0fr4Knajvu6Yktp7naXVMPAqVS5CENFt/3Z4PIwk6zFhQvrQyIF7VkjoTLersX+1Dwfg78shjLbq2r4UTbKuthG0J/5pugnmqTIoG9Qb3/iHmDaKFIGJLc8WaR+m/gbyXRDlXe7VAIe6CYuAR9lsdcenyGtMiK/KgejnFlcsrAFchRJt0uqFf/YsQJlKx2eyCWMrrTjI0bd+W97rq/uDluTxdtOVwqwkxsA/5/4bHhrik33rGYK8iYvNGGtZl80K8RVA8ogx0ek9vUSUMbt/jx/j1i+I6U2jIwAFnvJ9o3X+z9jMbROe1uBWpjb2WQ2KRjDLfzmrf2KvprN2rgL3407u4mboyTzEosgSn6ctK7W+AQtpfjh66GUa0o18GIkVEvmRsIc8NDKCOfbqyWkOvEf0OALJokfi7cmPV4C6CKTYFI66DfMTIUb98nl57rGqBCUl+mO7npqw8ucvrYg/1v+pP6az/2jk3QgwXAVsAcTgn15FN6/cJHBYV4Pe/4//viE+g7cfYxEat0Zlo7tAe8i10k0F7F3bAZcVXzwHL13dRc36naDO8rWBqjapD+DFgtHPBEsnaoIFTJlhEYHzREQ0j89UZ/QNu6tRN+76gBCAy5NoIdDfea/Hh6Ops3WBO0qIS4sau1Pc/dPBI1qUnwdRwD9c0XNnxYTYCyMpQqBqtLpzR92Y4Goj9gS8KI1UoYoTj7ddIGBbcyuyU4Tb5Flpa2NETM1ZbI/YW3eZERFefIKwKU4yZS+xwHHiUQAKlooxfZ1O7u3+lTzpaymNHub71m9aeuA7bs4Iw2xOTTIL7i4VmD65O/s6EIHx/vTKddv1W+8rhX7ADvntAAkgjVhOWh02Wv+qiAbVZMGMO5OOrIPqKyWEANyNt+2XvEZqQFH3FCPgsvNRVeMBOxb0pZk+3kBVrPNEoYHEgNXgDDplBah5cRrSp263obzdSuv9MFi5dVGi52Plmy40hHWnkuUQBcWvTggioCihg7vu4oKkOHa5pIm74dxsXM0vPo0+9wNF504bKkTBOO6b1xN5DPFIMeK9p8n5MAixD0B9mcvp/BGpK16+7KVojMh0GyyVlY/UwMfTwAALnWFzuuIGpVC43nVl4+eSLEsyAiUYrsTRZy7kFQu1FkcWd6XnolmjSKS3dI6Oqs4baC8iQG0ZkakQLb+5/3uEQpSGbAPRhQjjeuOG3ow69gxdY8JgCUhoSu52gM+gWdSjpGcH6KLhuxJZeM8RazLFAx+7NJy4rZe9gecMj9A5a9t5/mEJQ3QaTyciG5ifJgDySl5QLo4MnRZOEPumeBjQ3WP94nck9g2dXmdH0YUAWpa98T9dGzupkg7noaDfGi+/NRFF+vZUSapRkkxEaC4SKEx6BxQTf8ARZV43gAEZ70kbgu2Mq8GqdSF4dCjyR37XhTJgBbUczuXUcY0l0Vj0vPtavdPrEh1+708Z8v0FK7WgAwm5vICMvdoKyxTUBLXFLFYTrA3IuntgF47LgxUeBV0DP/eBOiE29XmMFhSHqF2iKqPcfg+OxkDK2v86o2Cds9NmcemE+06rW1h3zMJf1bMkdVSDwWixPQNIjU0Z9SKFJb6pb26QabPT9ged2sQng9uZaU8detohWWbpVpDrCchI2cKTN56SZim2NGo6v2ZTefjjnfurR7+mltcYpRBCA3wxf8Ok3kEjy99DGw0q5ozDNNBk8lJgfPjh12FyPpDEzTsKS2381ATIZS0MzuioYqFp7zmOpwHiDpwBtKKF09mVLyU7yJzjlk10XwegwcJ76OgOpkBZ5jZnjdk1gFEmGHj7L/4u95XwnNsHKCX8JLwSNvunxiLrQiOGIm9M6ztPU9c8UbPqnR4uddJMiygKgPDQUt0FuysKtwXwC2fgmZFkh5TNKMU2JV8J7HpCPCybBMXkhNfnITo4yeGwhvSIGKCPlk3GhgS++XU76NW9viqXcdwlDLDtnbOBYYmEC6a1Qx36cE1BW6JD1EOVfex0ZOT3PXogtp0WoW5B4w/zdJbOzj8k7ro01DsyRtvvXsGqQTRI0m8tkcAxzn+J5P0qZ1Yeot1CDzhi/knoD+k8a0JLfViAZMuGIUSYt3+S/bJzGksypP4zD1Vhoyls8knXQqM3JxiPTdq6+oHvemQeW0Ayg0y8Hh7FFhaT5hKnRke/qIbo1LCahorKBLWCv5MKmz9VSwJP0N096R9yBAEyT8x6L3N5IJr1gNlYpcXGsC7mpwndQTM9K9/mTSZVnBkAExS5oP9YCAhOadh7om/INBBZOKI+PCsFam+cuT5y5Od6PRsT6OC/yAhj/4jgk0DRtYigX5BjaMbrEdpgJoBUmlH0p4aR85pRHwjPZb+R9OCsqhBGWrb3JFMwZcdxSfnZYbZSBw6iva/at6/dO5lBl1U6RQbPY9XfYPjYPF+s4yd4TzOQsxVgPpxI0vsIAOK8YTKwPUfl0j3kaPSvPblj3YP2rwOO4FYOzeJF2uw66Dw9WIInMPqi8FYvyo7SrSu3I8XoJOl3Fdk31jK66qK4hsaD4x802tGYBFY953bWCd7j062rMaLHK9bsG8gTI0FeoRJqpgovDzo2wquHPZnMvJnIfNlCPQO5e6zgc0Mt12u9Sf4A7kam7KZFuFi2CCXt1OuXfT/5SyjhMOKOu7RXJOcus7HYBVOPcy39JBiPz0z6L8NrthhBmJu5gHXvPnQkVYNfYslhVT6dQQ1BhPY7bPicCopNk83UbeVqUvndl+0mHsVpDDJGRNSJINfzBLpV5d3jlR+0OP51S1tB1Elmmnaz7hwz2/Rk/1bzEHqzYO7+2NxxnNgq2ZRssGhOZJVI7feOmBV0DUL3X53Nycf5c+NOze2+UQbsG8HTF96r/mZej6ia8og0zgomTmA9ycydH+j3VbyCswEk0vW70uXU+Wt8j9CaJHdK2Y2fQfJ9TCv/fcWWi0uFIrl+BSA6N26QcKN9HzO44AAvH9bMj9RIOswNLkJJBljXYV2hZhr4Qi2500LDzRI+iiVEqD5LS/G8UkVhYpZ7WwMGOp6laxDBwi1dulpka1tGW/Cgvg4A7/p8/oJ0J+jrKE+3VUTk+Yll074pSYTo1AtWIZKTaRiUW75PRg5UlbeTLmWwfFsWg+GAgHpsPgE+akGUkmO79xoHVthG8vUFEE7Me5lf6FUL7EiOwXc7grsqLaxrhNCFKOFQXMdewDHwygJlH63GdZR9rmozwrIS0ZZ6UtUFZCZx2mEABFngzWqxYRtld8j/2o3Qy8kLwmy27rA80X/JA8RpRbdlI4aEMbQ9Q6yOUlm7FuaCzP8poRUGjyB9Q77W7vCUs1r5yZW+m+FKHHWbYOcJlJPlWlkQOofTreXv0sGlhP2yw7feNQYS8yLAy0Hc8CQAMdNlLzzmgeVUgkgM3mrzv34H93cwyM/kjZYhluWHcmwCOotl8pDh2ux8DNIIi3fHBNOLWBuBZoWTtyriOEiKkCKT8wOhlKxZGsXJiG4on3+c5v87d12C11mXBx48fKr4lRbV8rylbKd2E0t0lTzke9fUqMkreeylXzvJHckVgwIT43wLOYjk1TX9troITLw2hTf/QqrGYwoYD24KjMfENHqe4KAXUQ6/paya3u6M5fgnnpMvSFH77gz7QhA0P1Ny5s7ywRpz7pEpnkGp6fMzW7QbmOaq3AKZS94OOGfk+mJMTF5Xr4nuSzTlYLzv8VSKnZJ0jfqZ04dWHYGT76MLJbxZHYivabUzVD5Ranw1l+MMY5PW/Eo5lJyCSeVmtCfV2O74/S2VvHQ72mtdjLd/R0pHR/dhJFMBGIh4TqnGCWI9sg2mTtq389pu3s5V7eOh13FFvsQDQ6RfI49q3YTAUv7adyuxT37N3YwRoWZLPkbG1kiVo6TCdv+Jn6+Bs2OZzb+TL4BFwBCyxVpv+9GNPqWOPJIw8PSmlRyimIgBu0KNLCPTa+6fMBckuWYOVWQ+Dds5p43i+l407Licp00MD3BnM2CAYR92gCmWuAVB8obzgjJuJW2XCGOsjM6lqOGwBAir2SmaQGUrmfXe7BBrMsmbwbF5NW6wIqoDipqO80YP++IJFEgqpR/e+BtLWrm7YkTUA46e3IVO9KIUfAdII3qvxrUfHzRfUS7RGay3JiKLMEMC6gMKWMM4JvxVzwtLqnjKqIWnw9B7wfWrl5lRaM723i/itxhrqWRcxpZ8l2yLSLkMGAn0dmGELvQTWZA++EGd5kg+PUk7jlXB8iz1Lgc/a5dieGNMrjff+JXTbYGbwtSWx/XqouDPf3Kt9K5mk2OQq3fZSRsHfHbgrqXeI2YtKEr+ECG1cj4bnn6pOG05f/e1k+IJuVGlaZyfZE15emirx5y9yFdy0wZP538zSGiHqAxzwfnKtzu4PXvYCvFPDYlvb9mJcB8AUWKcmncEnwtmnX+XFrG6c5Pxyqc6BykT8Gdy/G8gQeJnjiCeK/Zpzzk35fpWqoTOX1UIly6+p7tpkOntckRlXZpzxAZv9K7lVJPXb0rgxurRX0c4lMKJKvFUUw9G84uod6E1eIpslmgoSkDOa5WTIDAxXK5FzupnwErAMkSIEtvt1UFvAsXZjrWcnEfphcebZ2pkJdx8b5yhAQWhN1TT/ejBQzmUkozRnOVKrcW3EtHzz6owUgeK5iW50pVoNLVnCI25uQrEgZEz2r/dTGlqD4XZXZyyLPAvzpaCaf0Ie/t5RZ02QSTHkMgoT2jYnFpgFfXudSfuulqCShOddg3m+gxv7+ZxNKWh36YGU+fi+b140+HnLXzBCP+o6vHlR/4hU2WpctxkjvzhydLFXwHTqLWE+wo1YOKe2g1mY3H6ongHClo7RKVd6nhZ5oe2NuaAnRL0A+Xjdt++uUFyCJ7q47bACKafrX5XBe/XiDuEesf1/ATXjGT/MAHUgQKUsYFyu20NBRqb/7qlh0Qdl4G5FK65CjJynxCVMFaSKuTc13YVXpPcz4DvTTT9+YzqMORAhBt1KvoBCVEyUQntOQ7ibGd/+jeP0HraDkCmy0FPBpVlbAorjvx6Zm70QzTfMIRbr6i8UvNpd+mTQTFw2c8iP3362Ki4CgauwMjez5pKPxb318N8JnXrC0kEC/07Rtp+qQwJ9uu0pV1JfhhULQWrCdxb5aRmmr4EAH0/7rKoT8wG/Hi+TNORykwyU0MVHP5MtFRaFrgIiLd1KUKiqJCPR4ZY6jcDOOGj+eP22yFjbDxDP5Cn8VyskcrKm4F2+rdZpj6Rfi8c+Sfa5RknjnMIUtXDHqnq/3+6gLJEBY8pcBPqwl76jPk/RTbWcctbZEw4P2jB5MCIRvwB3pbAJ8hOgMZ00lvspt1tk9UUb0cLr7Fgwlyq39suTcMj3xvjZZsXqTTP8j2d+XVdmLpxfIP/z6D242ZlbyJe3KdMFRVwglIKln1RvEM/Q+l2eyYwTuaPLAduvEbjtIqtSmJDDXImL+6zRinpTINyJHDxGvJ4yUuuqdxqwWZgR0m4DXuTcRP+kw3SFD2uvK0tA9R4X3Zzjf2OhKprfsjrxHBJyzp1vQAiH0Dy9t1uDHeIkwKMZkNbJstILOnOj+r2SCMvMRdFvBRDIfjCPlL2HszREF+zzYG+1pE7GsuLuivTW0NmfGel/+W6PlCkWIAhTQpIfHPPVxXPr04Z15Pmp1ga+MxXAEtRWAnSwkleFV9kvncQBbvhc0DBMeXujm8A7u6DWcStEqvF4GUYUeIGZ5ah3ezauIWLA7xozoVyYfSG2jgKKeiArb4x5L1OGpSguxvU0sYgiWpNeaZSj2nYaZ6F6pekj8a2zInTkNRKwdOvE/hhkBaqCWaY/5DB/q7/QY8TLU14dn1DwlNA4wNrjLq4FxeH0FVzu41F/a3I1H7YZ/ISypZ1HALpE7cmv/nRlVI5iV856HooiAr3b55fbCXSZX3oP8LC96CduJWljoBi74eAq+cvuwgTKsG2USiz7VTUShQ1x9/Tflxf2RzP4hhgoksgtrPkCfJBh4e1XcmWKxQbqEMzgC5WMIeNSFUbELje2MG3fSf0FX5bPg1xQO3rqnvvtI3vS2DKu0jBpJuMaDEnN3ekmE3u/7CqWAkQRybCLZHfW+Iqs4bvnblxr7NrvPTdSnmA7cG1/TQc6tkfueJYK9KmdNtvcSNIt+eMLE/pnIPjmLziGYKtgm7rQHqLyVvWvfZPXmquwjrw558sdcs6KJ22tnGBUHExaJ7Uoz+EkI34vCb8ZBoOsMIG/mVqyEvRwfXmSV5M/1fx5MebPSno7HecAnSPoEU1sXBFFPlZuB+7YknKS1lsvk3GgnAcwpK4xqnKfIYC/lh+jvm1B67do5hQgI8D9GTHYEUfXVMMS+7UUFbC+kVh/TKM2P/igybbHCYXZ5eE5VXtRriLfGA1i98fxaFQr1x039dS+CcWIi3w/waAltTkqPPTmy8LbGRbeePJsv1+vc4lVjGgZ/JtZg+E6sM75Ypi7Z69jpoulmXfviMHqeu58PaUY1Ih56hRRm4oNXL9lazuGmRGIgezgN07H20EmUzEmDIyFPsGPttx9tfCPoco2CAufYa2Fxpp4jyULOUa9td/nCRGZEg0i7WYiyGhTuvVWjVQ3egr77pNzoEgeF+hLtNc5cUSrJrgJfJePI0kgDUZX8+m9wehz6cG/zHL0oDHSlnF02ohEDlTLTBqKWlXd1adHT3n+x1EmuvkjIRNp1umUpoG/ZQgypT1J3pYN+QCgvomP63HxoyOxYop6zaZkgsj0sgI4YQYAcFYSDNeyH9xWh97kH0SHO+Ah85T6J6g0C0euPw9NpW07clMzxlO+IvxCOb5vRHe/Nids/kb9u4fzdtqj/fC04p7sUzxPlvPgYPFr26VZ/NbUwTrYJrT6eDS8t9pRFkFC4rBnK7L/TG9tRsH5mj2zCmlGFs0bjYDm9ufKQaHm7SFZKaKhvoBqcwdOr5tbe2IiyEjQWFP4tBnCJhPqcv9mND+BUhno0S3OgcgcXCuSZC/vv1abaYZRNfAuYqs+92FOlu6g/BpAtRzWwYMxrw51ciqcD2LHaD/feICnc9tViEPqOGJ9ns9+Bw3I4714pdRzPa6S5JOKiKU4BU5Sezl47jI018rlgBdcFZJCFMr3SQMBUdf0wRtmvkEFTC2miTaQkLFKJi2RJlbxBjAl7soYLAQcaRWc+2ESeANl3t/k/4AtuWuU4QyFFIi2lKi4Qc68rMjZeQm8G0EvsaFklMhLlCqQ6F/Ok1wonCNbmShmhAtXtwb/op3oBnI1YuI4XK7RuzyHAXtNASVpDE6Px6MdAx3okGUSMB6ylH2fZhoD+BMLH7n2EBiLBeYaI0vwOA+AHCq2oXM8g4kSP79sHkycNrtraOStN3eohmfuqmLzG8Pvy30blatZqOxul2IID7DAXvbSVxyAwO+zHdEKRznJKAeuEXBODGGUvaLkTNPsY6xz5v4S0htvavDBrHUxxbw8/MuIHLe/j4gAGKatwJVKW8Od4LBM46vLFlXS9MSIuMClmud/HFExt1ZZY1mbwrU1Y9z+Q8qtDQiS2MBJlbx19F/f1vMtX1+g8t2pUrpc8cawKDTgqqU+6Rw/+DIuwhOSxU8YfrZkXkpDOOS/oedNdruqijLNI+0vhrMJRkEAPEV/S6LHnp57IQe2GObv8qJO3vMNRpoPR0hfLwsHNyrsZvXOwGguurajS1XhA5SqzY6Vd780xjt9ix9kT+kIKgm5WQUR3LKxKectD8f8JKMJGiUeBUeeC1xUsRTRS+23Z3xqex/ur+2V7lJBlzdfBM0vG+bsYC8oC9sgjDf7plPFSLtYyHUqhEFfPYLWHQWIgj8tNyIFJ/b0WzOiVrfIw4RbieRuXk09y/gG0UgY07UWtBLdA1uqAKFIVSd9om/V/WbGpeuA1TQd8Eyg82VYRqIe8nAuqZw8y7gqa791NZXpNbJZQV8sC0dZi1kV0/1pfj4sNOOBHR1+gfpygjveMUja328ZuK+b8WQ5d1zxvjKMsdO2wGaMEjvomWiGTqwYMD5DnL2YZ25+JaI3Mvrym5gHb7YVyb9vr/9mGFdxVRV20WheX63ziFRzU1lUJybHOuwOXdaEiNPgyzf8A75Ase8S8iycZw2MbokJaTfLE/mJYXJpo8EZXoU1Zhxf3VxLFhMRaja3f3GZ2BgSwZXxZv1MWTKtJjwIpXL07sNpvVl7wtdgjOjfjrqRcCKhNP/lGFu5YRNHkct+phWVDttjn6gbRkWgb+jWxqtTtBMrwHEGL8ZoqmcrTGgSW/y7PR2happZTf69VuXHSU1mztLNoJa4mNl5qTs8J/mf6GHtEF+ncnVp0kQgD9ZTLC1qmyvScFLB6TtYknLHi8Yh5enRw186PlihghISn5fJpdUw7U25TnGex9IjCd+oipOW50BTyCRMY8wDXDO3GH3vRfCWkhijpw6V3odRVksA5+P+hd3iiU23OMdb2554cMAs7qd0x/D+Hogktlf4+n8RLq9Qy6mMMhkpyl8k0Ur0ngf9LTxQKMD6O2NHwM+g/1otg8Ji91KIu4b25LT6CwcRHFiffafHh2DN9H79wpc1JRe2J1ZBvtoil3O58bZPiC500+rk24YyTgq9tn/qm7KZJaGJwkne8IeLP2yBzTnPEjup0nL2vOPTbfw5we0lY3gYVcnoQMcxw+SYhw89mnoOE8GG/aKn9itRR5575+ENuSxmMTUBhBjjMjbCMJ/ih4xdrwOJH9fBqDbSqE/jw31j3RUckLJtfVjYp5qotYc5a6y9L+RhQRYU2ljbOM7RpX3BrKgcA8dj+qO2EbLNU2A9iO6C+u81IzDeqajevVFLoN/psViJ2sZtF5lbrtH01jKJNFuZ0uY8z7LBOMlP1SFmDq+lQY9Xi8FBrCUhIx9glwELxfS65PfrYsfZ1XrCzvoNNTXikpCQg/6j1Xm3171UlyLu8z0ZF0jalXzf98tF65FV56LRtXRWO5SZGwwwbQbfbP/GnKBC33cNKjqUpIF1KemIsmr/qEb0Ada44UcfspO5336bwGALZPBVI0mC7XSCMFe1m8aje8AQqvUQwdQT//eIzTNhVM66X3yEa/gjaYCJnGeaeNOhROyndsd43szc8/IPWL3FqFaTJR4lAR0CwIl8ie8BFO6ZDAkuli8c1xJleYGDhiZfRHLzJjYHZHyL4+N/c+1bHzEumbqXedMLBTg+QcP5woxj9b5lgibQPQmB12q2LR4k8MuK8p0pldvluLoRsp6dPwS+TjhRMyO5AXG4WnbjxbIIHOT5vpGjM+1ubguayC7ez5yeQTfMkT2t4cKCNdyntVltP7cQxPpYq2EnvAAZg6UhEQZujTfR+I7ahD4cRyqB395HfL7GR51YEBmUV8YE/xpHT9H8SrFeVPODlfcwOKs+qJupT1qIbaElMaxzHSe343DMzPHbNcX1qWYZIcnuYa2F7g3g90IWxblTxEJiDHqs29xCnTB511Jl/ha9+AmxVWdjIyAlyZZI5jTvzSEPEpQNa96sbe7oNVfEzJcvK1LhrnzoYJilys3Wva76DX7gwRUe14tq6vBKC8cFszQCuud4VphH8LEqna1boPepb37TZsylx04jB/aX40+iFT5xVi5moe1bBOp8XSUgsmIbmZP4omp+3/nbt5ADFAjAh1p+piyCMx459bEppVcLiqyoW/4BoXJyHsLUkOSVygJKtLdM/s0tpZOTsQI57tUleDM4yhwpRaGNEVKrCLRnndONov0l4S9HMPzpQ1D84XnURb+clxeU+NLJjdsidttUBh9VWyFMWYCJb9jc9F73rif6pqAyMEDr9veBCuu069eUIMrNEMggLfAd21NmFoFOOKdHcWoypXFM9j3L0h7+Dh06pwm66CGjvmU5pYqfh7KfU4vC/0OrQ5owSlJdwZ1557Vk0zpk3kUFW0P4FQkVC3ENdtVUYa3kJYSaB0bq8LW9xT1gmtpokJfOpsIirBUntnwihucl5P/BbOFCr2zmoohnSTf9E7rn1QwEL54+5WJTOrQT/gbOLibxLZv5uiu7b3otZFE6+kUXgRa7mnhzt1eqCuFNMGevXg88g2whI5Ksd0VAfozuzNPB0T/qZ2MyYjY+1MfkhfS6QX5OC06wVxuU1jkQDVBTLqZPc4/1aU0/Ly5UDjvrBwdx+I7n/lMEA8IpmkfgxumPGSO8XBKGuuDHOwQyhK8vuQ6FGfcfbkgk8MPQJiCPeC/Q28UeucBAjsyrdTVj4mRgADIJhyhXrgwzxBfBR/BtQcT42u8CWMSE55B/dey59Rr9WygYoJaGwLsl+LIpjswmksKBHnrVWKfnEelZU3MLPe4hH+UF1CwU6eV9EychAUts2hM45TTMIAAyr7OSuv2enI7rGZ71EkmrT/1k7G8tZBBSfUZhSIFPZbqsckl4Z+mxmkh5HSFZBDyWRyunRjQ2punFS/1HX1+sKgu6f9FJKFExc944yKH59mVwWEpKVmgl9MF1aoOBf5DPK6sGip+tmZ5QIAq8EBodgYpfLt41aqSvlyVVL9HCoazS8ASiH8s0W6C0KXcj5BfoYAfmBh5YboSUDVCxwnUtxLy8kvgj9z9YI5RNdo8kLSCx7VKdOV8eZMavhC3/eqYEbxLhRNuWs4nYuiB+EY0GWxJVbuNBk8oL2ZY7EHtF8iGuRbn69pKqVGWTJ9iEgiQYiL94Ie2mMNbSaM00Srk2z6ZPKjGFmf2y31TBt4sU65V59lhtxA8/61oKEpLJUFGbT2VInqfgIuvoW/419pxFUeqZ29Bg7HejXOzvv/FyohQTaeHtTIHZ+pAPWQEvRKe6DLFSveyJg9wi08tNUB5fkLIN0uSOQ9gtWmnchTryRkV50XISl8zcEiXl0zpTjSLkh4Rc4csaiQCnM3OBzATtvmwPyjRWUFBZH06SHHu/c5ihM3mGdwRRXiJDUMGZcoOsiwbkAklmkY5ogOv4yPRO7yHDxMizlYZFSrddPdotMXWMMWAeDFlqRZMprjL38NQiue2HZdTRecZc9T+tNs0Rd9EqArBcCjIBjDFxc0oo3ql55wcpo8lqQYnWRiKECJuURClVFm3bPBNdRu3VXE8baooKTQfTCdv7kHhgafYClpn0gGptX6MxGppQJ+t3mgjcLE8o3x8jTCQj9C3ayFpcdYi2fta8BmAwSIAGr0mMxd7YhWcw3C+47c1HSvjL7bMGaDl/JlsLzVAnh9BchQ/sTiHlRi0ZwjG99HkDO0DNvzj4d0u83PCLJy/AD2opqxnmET3K/T0RSkuAX/YROJ/CeVz7UbcdB3F3Ca1djADSXy/DE4vvvR41xXWP4CLIOySg5BVeo6BdXpcR4pjDsF4a7FJTtfzfs7k44YQFPIZkAdu6eRkbFppo9QYiGP5kB93wJBvzs9Gon6tUI45+Zm6jGj+8ppwU8ChZum+137GhJSBBxKwAynlgxkcxKq3unEVohJdTgPuESCFMIBs4/VlqNvRR8ubbflGH7NBGxvoxRZjjMI5F6MAAA=)

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)

## Pipeline flow

The table lists the plugins used in the daisy chain detection and
                    classification pipeline:| Plugin | Description |
| --- | --- |
| Camera source:[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70015-50/topic/qtiqmmfsrc.html) | <ul class="ul" id="daisy-chain-detection-and-classification__ul_zyl_gj1_mcc"><br>                                    <li class="li">Captures the live stream from camera.</li><br><br>                                    <li class="li">Uses tee to split the stream for inferencing.</li><br><br>                                </ul> |
| File source: filesrc | <ul class="ul" id="daisy-chain-detection-and-classification__ul_z1z_x4f_w1c"><br>                                    <li class="li">Captures the video stream using filesrc, followed by<br>                                        qtdemux, which demultiplexes the stream.</li><br><br>                                    <li class="li">Uses tee to split the stream for inferencing.</li><br><br>                                </ul> |
| RTSP source: rtspsrc | <ul class="ul" id="daisy-chain-detection-and-classification__ul_vsj_2r4_tbc"><br>                                    <li class="li">Captures the RTSP stream using rtspsrc, followed by<br>                                        rtph264depay for video extraction.</li><br><br>                                    <li class="li">Uses tee to split the stream for inferencing.</li><br><br>                                </ul> |
| h264parse | Parses the H.264 video. |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70015-50/topic/v4l2h264dec.html) | Decodes the video. |
| [qtimetamux](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimetamux.html) | Multiplexes the stream. |
| h264parse | Parses the video. |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70015-50/topic/v4l2h264dec.html) | Decodes the H.264 video stream.<br>The stream is forwarded to the<br>                                    Wayland compositor and is rendered on a local display device.<br> |
| [qtivsplit](https://docs.qualcomm.com/doc/80-70015-50/topic/qtivsplit.html) | Crops full frame into smaller frames based on the detected<br>                                bounding boxes detected (maximum 4). |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimlvconverter.html) | Used by AI processing stream for preprocessing:<ol class="ol" id="daisy-chain-detection-and-classification__ol_j34_ddg_q1c"><br>                                    <li class="li">Receives the video stream on its sink pad.</li><br><br>                                    <li class="li">Performs the following preprocessing on the stream data.<br>                                        This preprocessing is done when the model expects the<br>                                        floating-point values as an input.<ol class="ol" type="a" id="daisy-chain-detection-and-classification__ol_m5z_cpr_lbc"><br>                                            <li class="li">Color conversion</li><br><br>                                            <li class="li">Scaling (up or down)</li><br><br>                                            <li class="li">Normalization</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li">Converts the preprocessed video stream to a tensor stream on<br>                                        its source pad. </li><br><br>                                </ol><br><br>The tensor stream is used for inferencing in the later<br>                                    stages of the pipeline. |
| [qtimltflite](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimltflite.html) | Runs on the TFLite runtime and uses the yolov5.tflite model for<br>                                    object detection and<br>                                        inception\_v3\_quantized.tflite for<br>                                    classification.<br><ol class="ol" id="daisy-chain-detection-and-classification__ol_l2x_zjq_nbc"><br>                                    <li class="li">After the inference runtime receives the tensor stream on<br>                                        its sink pad, it runs the inference.</li><br><br>                                    <li class="li">Produces a tensor stream with the inference results on its<br>                                        source pad.</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimlvdetection.html) | Handles inference results from any classification model.<ol class="ol" id="daisy-chain-detection-and-classification__ol_ol3_dky_kbc"><br>                                    <li class="li">Applies a threshold to the chosen number of results.</li><br><br>                                    <li class="li">Loads the YOLOv5 module. </li><br><br>                                    <li class="li">Generates results in the form of video frames with<br>                                        classification labels.</li><br><br>                                    <li class="li">Produces video frames with only bounding boxes that can be<br>                                        cropped. </li><br><br>                                </ol> |
| [qtimlvclassification](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimlvclassification.html) | <ol class="ol" id="daisy-chain-detection-and-classification__ul_uns_cts_pbc"><br>                                    <li class="li">Applies the threshold to the chosen number of results on the<br>                                        cropped frame.</li><br><br>                                    <li class="li">Loads MobileNet module.</li><br><br>                                    <li class="li">Produces results as video frames with classification<br>                                        labels.</li><br><br>                                    <li class="li">Sends them to the sink pad of <a href="https://docs.qualcomm.com/doc/80-70015-50/topic/qtivcomposer.html">qtivcomposer</a>.</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70015-50/topic/waylandsink.html) | Submits the video stream that it is receiving on its sink pad to<br>                                the Wayland compositor, which renders the video stream on a local<br>                                display device. |

## Known issues

- This application encounters frame distortion when using the camera in a few
                    frames.
- This application uses fixed `g_offset` and
                        `q_scale` constants of the quantized model. For more
                    information, see [AI developer workflow](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-15B/integrate-aihub-model.html). 
    Modify the
                        values according to the models in use and recompile the
                    application.

**Parent Topic:** [AI/ML sample applications](https://docs.qualcomm.com/doc/80-70015-50/topic/ai-ml-sample-applications.html)

Last Published: Oct 27, 2025

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