AWS WAF Bilder erkennen
WARNING
Erstellen Sie die Aufgabe mit der createTask-Schnittstelle.
Diese Schnittstelle muss nicht separat die Ergebnisse abrufen, sondern gibt die Bilderkennungsergebnisse synchron zurück!
Das Feld type
der Aufgabe lautet wie folgt:
AwsWafClassification
Aufgabe erstellen
Erstellen Sie die Aufgabe mit der createTask-Schnittstelle.
Struktur des Aufgabenobjekts
Eigenschaften | Typ | Erforderlich | Beschreibung |
---|---|---|---|
type | String | Required | AwsWafClassification |
images | Liste[string] | Required | base64-Bildzeichenfolge |
question | String | Required | Für die vollständigen Namen der Fragen siehe die folgende Liste der Fragen. |
Frage-Whitelist
aws:toycarcity:carcity //Setzen Sie am Ende des Pfads des Autos einen Punkt
aws:bifurcatedzoo:ball
aws:bifurcatedzoo:knot
aws:bifurcatedzoo:cone
aws:bifurcatedzoo:cube
aws:bifurcatedzoo:cylinder
aws:bifurcatedzoo:donut
aws:bifurcatedzoo:pyramid
Unterstützte Typen
Die Fragen mit den unterstützten Bildtypen lauten wie folgt:
Typen | Unterstützt | Preis(USD$ / 1000 Tokens) |
---|---|---|
Yes | 2,5 $ | |
Yes | 2,5 $ |
Beispielanfrage
POST https://api.capsolver.com/createTask
Host: api.capsolver.com
Content-Type: application/json
{
"clientKey": "YOUR_API_KEY",
"task": {
"type": "AwsWafClassification",
"images": [
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4Vwc+dqkh9NkQH8zQBesPhnZ2uoW9xFqdx5kUiuvyL1BzQBT1uEx6zeKef3rH8+aAMxloAiZaAGEUAdZ4VIOnzL3WTP5gUAVPFxZ7y2d2JPlbeewB4oA5sigBhFADCKAGGgDJoA2PC3/Iz6f/ANdR/KgDtPEI/wCJs3+4tAHKN99vqaAAUAdbo8hTwPfpjO+9jB9vlJ/pQBk3Q+5+NAEAFAGpoA/4qDT/APr4T+YoATUx/o031/rQBhgUAPAoAeBQBYsh/ptv/wBdF/nQB6p8Uv8AkmWo/wC7F/6GtfmOS/8AI5XrL9Tqn8B8zV+nHKFABQAUAfW3hD/kTdF/68ov/QRX45mf++1f8T/M7YfCjxbxCM+JNT/6+ZP/AEI1+q5Z/uVL/CvyOSfxMzwK7iRwFADgKAPQfDgLaHb556j9TQBnW8Ih1LUXAxunP8v/AK9AF4PigB3nAUANN170AaOkKZmklP3V+UfWgDiPEkBXxDdqOSzA/mAaAMNto70AQs6DvQBA80Y7n8qANfQfEFlpsc6XLOAxBXauaALev3EV/a2NxByrqxGeDjNAGAYm9KAGmFvagBht39KAG/ZZCcAZNAFIaW//AD0X8qANPQraKw1u0uppCUjfJwKAOm1thJq0rBtykLgg9sCgDANjcsxIhYgnigDOkvoYZHjfcHQkEY70Aa1j4rsbbw9PYPFMZXuVmBAGMBSPX3oAp3HiC1kA2xy5HqBQBANdi/54v+YoA6vwarajdwaioEdvbXKByx/H+VACamP9Fm+v9aAMMCgB4FAEgFAFiyH+nW//AF1X+dAHrnxACTfDXViVyPsoYBh0IIxX5bl6lTzqMevO/wBTrl8B8t1+pHIFABQAUAfWPgidbnwPosiAgfZI159hj+lfj+bQcMdVT/mZ2w+FHkPii7s7LxRqduLMybbhyWMhGSTk/wA6/Tsmm54Ck3/Kjkn8TMoavbAHbp65/wBpya9Ik0dCkj1jUltDbRRgqW3DJ6UAaviHT49D0hruMRO28KFZPWgDCtPHWo2lusMdva7F6fKf8aAIJPF2oSO7qkCM7FiQv+JoA9B8P2a6rotreTTMXlTLbQAAc4NAGXfyG3v5YUY+WpwCe9ADUl3daANzRLlxcxwK37s5+X8KAHa7ptkJWuPK/wBLlB+ck8cY6UAeVPLgkUAQu4NAFeSgCrJQB3GhzWEPhi2nukVtrMmSmTnJOKAJ21vSv7h/79UAQSa3pqjKxkn2jAoAhbxBZ/8APKT/AL5H+NAC2+r291cLDGjhmzyQKAM4QQ+n60AOEEPoPzoAnDDj5ugwKALELSP8kRZiAThRngcmgDhb/nULj/ro386AIKACgBaAPWPhjpo1PwbrcOP3gnV4/wDeC/5FAGfqK4sZAeox/OgDDAoAeBQBIBQBasR/p9v/ANdV/nQB6z49BPw31cAZP2X+or8xw3/I9/7ff5s6n/DPlzy3/uN+VfpxyksdldyrujtZnX1WMkUAP/s2+/58rn/v03+FAFhPD2syoHTSrxlPQiBuf0oA+m/AMEtt4E0eGeNo5UtwGRxgg5PUV+R55/yMa3qdlP4UeMeMx/xWer/9fLV+j5H/AMi6j6HNU+JmGBXqkHQeDHKeJYABnerL+mf6UAdF8RVcaJbYA2ef83rnBx/WgDzKgBwoA9m8D/N4PtNpGfn/AAO40Ac9qeRec/3RQBXjkwaANnRJiNUtwO7Y/SgDU1zjUBluPK/LrQB5TLpt15jbdpGTg7qAIW0279F/76oAQ6Xc/wB+P8zQBG2lTnq8f5mgDo/sD2fg2NJT8wm3j6GgDBNADDQBGaALWlNt1OD3OP0oAtigB4oAcKAOm8DQGfxEemEtZ2YHuPLI/rQB5XesGvpyOhkb+dAENAC0AFAHtvwRGdC1b/r4T/0GgDE1lQRe57O386AOaAoAkAoAkAoAmhysqEHBDAg0Ae8zIJdHdGG7MPTGc8V+TVq3sc2lU7T/AFOxK8LHkg8aaIpwfMyP+mVfrJxj/wDhO9HjT5PPY/3RHigBB8Q9MH/LC6/75H+NAA/xGsFXMdrcsc9Dgf1oA9N8K6ous+HLS+SNo1kBAVjkjBI/pX5PxBDkzGqvO/3o7Kfwo8c+IIH/AAnGpYAHzJ0/3Fr7zhx/8JtP5/mznq/EzmMV7hmbvhDA8T2eSBksP/HTQB1PxGXHh+H/AK+B/wCgmgDy3FAAKAPYPh3z4TQd/NegDH1sbLxV9E/qaAM3NAGhpExTVLXB58xR+tAG74s3qVMYO9029e2aAONNtMf4QPxoAja2l9vzoAjNtJ6gfjQBNYWP2i/ijkI2E5OO+OaAN3xAgOh3AC/dCkDHTkUAcCaAGGgBhoAfaNsvYWzgBxz+NAGkKAHigBwoA634e/8AIwT/APXjP/6DQB5dNpF6biQiHgsSPmHrQAJol8//ACzVfqwoAk/sC+P8Mf8A31QBInhy8YctEv1agD2D4O2ZsNL1S2lkQytKsgVT/DjGaAMO+jV7q5VxlTI2R+NAFRYbPtaJQBKkVmCD9jjoAsD7P2s4f++RQBPG0KMGW0hBHQ7RQB6pGd2nKc5zF/Svx7MVbH1P8T/M7Y/Cj5aZMyv/ALxr9fj8KOIUR1QCiOgBwjoA9/8AhyMeBtPH+/8A+hmvyriP/kZVPl+SOul8KPNPiHA8XjW+ZgMSBHX6bQP6Gvt+GpKWWwt0v+ZhV+I5XbXvGZr+F1/4qWw/66j+VAHe+OYBL4e2kZzMn9aAPIsY7UAAAoA9H+GMrGDUIv4QyMPxB/woA0NTtYJrjEytuTIGDjvQBQGn2o6IT9WoAs6fp9v/AGhAQuMOCME9qANDxOAY4W7gmgDir3VIrK5e3lSTzEPzDHSgCm2uWx/gk/IUAQvrcOflicj8BQAtr4hjtrpJvJchTyMigDobLUv+EmstThhi8nyYDJlmySO9AHLmw/6afpQAw2K/3z+VADDZL/fNADRaojhgTwc0AWxQA8UAOFAHW/D7/kYJ/wDrxn/9BoA5i7KxRGY9F60AURqMHq35UAP/ALThHQMfwoAcNVh/uv8AlQBueFPE39n+I7Ro1fZK4ikB7qxx/wDXoA0rvBu7gjoXbH50AUkFAEyrQBMq0ASqtAHqkDK2mRsgwphBHHtX5LnP/Iyq/wCI7KfwI+YMfvn/AN41+sR+FHGShKoBwjoAcI6APcfhrIz+DLdW6JI6j6Zz/Wvy/iiCjmMrdUvyOul8JwPxJ58Zz+0Uf8q+t4V/5Fy9WY1fiOR219GZGhoDNH4g09lOD56D8zigD1PxLAsmjOTn5HVh9c4/rQB4i4+Y/WgBtAHffDGXFxqEWOqI2foSP60AdBq423h+n9TQBnbqALFjIFvoSf7woA6CXTxqV1bo4/do+9/cDtQB5f4/RIvGl+qKFBKHj1KigDmCaAGk0ANNAHX/AA8YPqOpW5ziWxkBI9qAKhNAEbUARtQBG1AEooAcKAHigDq/Aciw63cyOcKtjOSf+A0Acvqn/IOl/D+dAHOigBwoAcKANDRf+Q1Y/wDXdP50AdrKP3kv1NAFSMUAWVWgCZVoAlVaAPTbFSdIt1HUwKP/AB2vyXOnbMqr8zsp/Cj5mliaG7mjb7ySMp+oNfq9KSlCMl1RxssRrkVYEojoAcI6APZ/hsMeEIx/02f+dfmPFX/Ixfojqo/CcL8UoFj8WLIrHdJbozD0wSP6V9PwnPmwDj2k/wBDKt8RxGD6mvpzIu6M4h1uxkbJC3CE4/3hQB7Rr8JfR5wB02k/TIoA8KuUC3MqjoHIH50AQEUAdt8NJAur3kZzl4AR+B/+vQB1euDFwn0NAGOxoAdbSbbqIns4/nQB22mnN0fpQB5j8Q7dbzxfcSW7JhURH/3gOaAOU/s2Xu6CgBp05/8Anov5UAJ/Z57yD8BQB1vw+054ddFwzAxMjRYK/eJFAGXMCsrqRghiMelAEJNAEZNAEbUAQi6f0WgBRdSe35UAO+1S+o/KgDpvBM8janfBjkf2dcdv9igDK1UhdOf3IH60Ac6KAHigBwoA0dFH/E7sf+u6fzFAHayj95L9TQBUjFAFuMUATqtAEqrQB6Xp/GnWv/XJP5CvyPPP+RjV9Tsp/Cj5rvx/xNrz/ru//oRr9Vwv8CHovyOR7j4hW4i2qZFADxHQB6x8NCf+EcmUk4Fw2B6cCvzji5JY2L/ur82dVH4Tk/iem7xPH/16p/6E1e7wj/uUv8T/ACRnW+I4Qpg19UYk+nr/AMTK1/67J/MUAe6a2mNHuv8Ac/rQB5lJp+mgsfsqEsSSSSaAKz2Ngfu2kf5UAdN4N06GI3F3HCqYHlqQPxP9KALPiSaOKSEEMWIJ4GeOKAOee8Uf8s5D/wABoAW3uGkuYgkEpJYY+X3oA7CS9ksYpZ4YmlmCEIq92PSgDzy50y/85mnCCRzubfKoJJ/GgCv/AGZck43Qj3My/wCNADBpczzeSk9s0p6IJgTQBdsPCOp6hfw2sapukbHDZxQBR8cX2r+B/GEml6fdeVDBHG8R2Kc5UZPI9c0AcTNruozuzvcncxLEhQOaAHWV/fXF9BD9pb944XnpyaAOxGiXGPnv1B9koAik0Z1xu1FV/wCAgf1oAyRQA4UAPFAHUeB/+Qrff9g64/8AQKAMvWSBpxJ/vCgDnRItADxItADhKvoaAL2kXCR6xZu3CrMhJ/GgDvJOXkPuaAKkYoAtxigC0goAmVaAPRrJdun2wzn90h/QV+U8RRSzKpby/JHXS+FHzZfD/ibXn/Xd/wD0I1+n4X+BD0X5HK9x8QrcReiFAFgR0Aeo/DkY0Ccf9PB/9BFfnPF3++x/wr82dNH4TC+JqhtVsxtGfIJJ9fmr1eDn+4q+q/IivujzyWLBr7ExI4gRMhHBDCgD6BvEzpkmef3R/lQBzjwRf88k/wC+RQBAY0XO1FH0FAGhp4At2x/eoAyta/4+h/u0AZLGgBYDi6i/3hQBtzyeXGzelAHlHird/b87P/EFYflQBiGgDT8OSGPxBaHGcsV/MGgD6O8EaTFBp41EkPNPkA4+4oOMUAeI/Hq28n4gpLuz51nG2MdMFh/SgDy6gCxYOI9RtXY7Qsqkn0GRQB1fiZPJ8R3yINieZlQOOCM0AY5JPU0AXhQA8UAOFAHZ/D0A3GtkgZGlzY9ulAHPa5/yDD/vCgDmRQA8UAOFAFiz/wCPyD/rov8AOgD0hh9/8aAK0YoAtxigC1GKALKrQB3ul/8AIKtf+uYr8q4j/wCRlU+X5I66Xwo+d9WgNvr2oQkglLmQZH+8a/S8DPnw1OXeK/I5ZbsSIV1CL0QoAuRrkUAejfDobdPvf+uq/wAq/P8AjH+PS9H+Z0UNmZ/xFt3bUrSbb+7MJUH3DZ/qK7eDpL2VWPW6/IVfdHAzRda+zMCmV2OD6HNAH0A3+kaOHYY3wBiB2ytAHOyLxQBVcUAXNO/1Un1oAzdcH76M98UAYzGgBiH96n+8KANu65gf6UAebeMbWaK9W8Zf3DhUVvVgDxQBy5lX3oAnsL5bPUILg7sRuGOBzjvQB9TeA7tL3wjZzRghTuxn3Of60AeN/tDwxp4l0mYL+8e0YMfUB+P5mgDxygBVO11Poc0Adt4ty2utL0E0UcgHoCooAwjQBoCgBwoAcKAO0+Hv/Hxrn/YKm/pQBz2uf8gxv94UAcyKAHCgBwoAs2f/AB+Qf9dF/nQB6SRkt+NAFaMUAWoxQBbjFAFtBQB3Wm/8gy2/65ivyriP/kZVPl+SOul8KPnvxC6L4p1QF1B+1SdT/tGv0fLP9ypf4V+RzT+JkEUsX/PRP++hXcSWY720HW5iH/AxQBcj1CyA5uof++xQB6P8Nr+0u7O+S2nSRkkUsF7ZHH8q+B4xi/bUpdLP8zoobMrfEu+trKXTjcyiNGSTGe5ytbcG/wDL75fqFfoecy67pZ6XP/jp/wAK+4OcoT61p38Mpb6KaAPo23XzNDt9v8VsuM+60Ac865UfSgCnKtAE+ndJR9KAKOulQImJAPIoAwXdf7w/OgCs91Aj7WnjB9C4oA6NxvTYD94YFAHOfEu08rw5p5TGyOcg+pJU/wCFAHllACUAfTvwouxJ4Ct2k2okWRknoAByaAPFfi944tfGGvQwWEQ+yafvjSc9ZSSMn/d44oA862n0P5UAbPh3QJdc1CONiY7YMBJJj9B70AdP47ihtdagRGwBbIOT6ZA/QUAco00a9ZFH40AaIlj/AL6/nQA7zolGTIgH+9QAC6t/+e0f/fQoA7L4eXlt9s1mP7RFvk0uYIu4ZY8HAoAxdd40p27BgTQByf2qEH7x/AGgB6XEbnCB2PoEJoAf5xB/1E5/7ZGgC1YtK1zE62l0VV1LEQtxzQB6YCGyR0PIoAyBqFwN23Sb1iCQPlAB/WgB6arqI/5gF5+a0AXVvtXMe6PQpix6Bp0H9aAJY77xESAPD34m6WgD0vQZribRrc3UCwTKNrIr7wMe+K/LuJ4cuYyfdJ/gddL4Twbxzotnf+M768sNVsRbTOGbc5yr4wwwAT1Ffc5CqywEI1lZr8uhz1Lc2hip4UVumuad+Uv/AMRXsEFmLwchYebrtkFPeKORzn6FRQBbTwNbP08Qxf8AgK9AHpfws0CPQxqezUFu/N8vlYigXG71+tfD8Zf8ufn+hvQ6l34j+FLbxJDYvPqL2hgZwoWIOX3Y7ZHTH61nwbP95Vh5Jjr7I8+Pw70SJMS6lqEjjqyRIoP4En+dfeHOVz4L8PwSKxu9TYKQcbYxmgD0Kb4mrGmxdLO0DA/fdvyoA8/uNWiDswudZ5Ocfb+PyC9KAO/k8F6VdWsc0l5qbIUDjdeNwCM0AeNa5rWpeHvEN9a6RqV3Db5XAMm44xnqfrQBz93rOp34UXeoXM4U5AklLY/OgCp50p/5aP8A99UAJvYnO45+tAHW+ANRuD4vtUmmllV1dcM5IHGc/pQB6N8Ubi3i8MQLLMFlNwGRMctgHP5ZoA8e+1xep/KgA+1IWAUMxPQAUAe/eBVuE+F2q2lwhDiB/wB2eoG044/KgDzHyYgciJAf90UAIQPQflQBu+HSvmRA8gTDIH4UAZ3i7TbX/hK9Q3xbysuAXOTj0oAxTY2v/PtF/wB8CgDnPtX/AE72/wD3xQAC9kHASHH/AFyX/CgDT0CT7b4g061njhaKa4RHHlKMgsAe1AHpWueGv7DuvNgjBt2PySBcFfY0AZLOka5cgL70AItza/30/KgCQXlqh++v4CgCVdQtv+en6GgCeLUIJJkiQszOwUYHUmgCHxLc3FjpLvC7RSiQKSOo55oA41fEOrD/AJf5fzoAc2varIAGv5+PRsfyoAVda1Mf8xC5/wC/poAV9Uv5SDJe3DEdMyGgD6B8OX8X9hWwkc7wgzx14FfDZ7k2MxmO9pRjeNlrdG9OcYx1PnvWkMGvahHuztuZBn1+Y19nh4yjSjGW6SMXuRQ3BHWthGjBc9OaANKC56c0AejfDi5DyX0XO7ajfz/xr4njKD5KU/Vfkb0OpreM5PLFj7l/5Cubg7+PV9F+Y6+yORlkDivvznMu5PWgDHuT1oAyLk9aAPa7uXHhMMjf8uq4I+goA+e/GsYTxLMQc70Rv0x/SgDnqACgDZ0zwxqOpqJFQRQnpJJxn6DvXDiMwo0dG7vyKUWzs/C3g46f4is7n7bvKsRt8vHUEetcP9s/3PxK5C94z8M3usatJdtM0qoNkcSnG1R6VvRzalN2mrCcGcS2iQxSFZPNDKcFW4r1IyUldbEGt4Z0u0XW43MZYopZdxzg+tMD2nwd+8tdWgU/vHh+UfgR/WgDyNhtYg9QcUARk0AamiyFWbBwVYEGgC347Rl8V3DHGJERxjuNo/woA5k0AcbQAUAa/hb/AJGvSf8Ar7i/9CFAH0P4iwdBvM/886APKNQ/49D9RQBlCgCQUASCgC7pp/4mdp/12T/0IUAX/HH/ACDrr/r4/qaAPPBQA8GgB4NAEgNAHu2gt/xK4P8AdH8hQB4p4hP/ABUmpf8AXzJ/6EaAM8GgCaOUrQBfgufegD034Vy+ZqF+PSFf518dxj/Aper/ACN6G7Ol8eFV0y1cgbhPgH0yp/wryuEG/rkl/d/VFVvhOANx71+jHMQyyBxQBl3J60AZFyetAHsMAD+BrdT0+xKfyUUAeE+N0K68HOMPCpH6igDm6AOq8I6Cl7Ib66UNDGcIh6M3r9BXkZnjHTXsobsuKvqeueH/AA4mqW813dXK2lhB8rSEd/QV5mEwirJzm7RRTdjatNB8MQ3cUkXiAtIG+UFRya6vquD/AJxXkWNT8PQNbT3enXwujFzKmACBWdbA03Tc6Mr2BS11OB13SEv7ZpY1AuEGQR/EPSs8BjHRnyyfusco3OX0FiuswjpncD+VfUGR654GkH9pXUXd4evpz/8AXoA8rvU8i8niLZ2SMufXBoArFh6j86AL2kuDJKoI6A4oA1fHIVtUs5lJxLZxtg9uo/pQByxoA46gAoA1/C3/ACNWk/8AX3F/6EKAPobxCf8AiQ3n/XOgDyjUP+PQ/wC8KAMsUAPFAEgoAuab/wAhO0/67J/6EKANDxuf+Jddf9fH9TQB54KAHCgB4NAEgNAHtvhd/wDiQWfP/LNf5CgDx3xAf+Kj1L/r5k/9CNAGeDQA8MPWgByzKp++oP1oA9K+EF6G1+8gBU77bceemGH+NfJcYQvhYS7S/NG1Hc7T4jll0K2cAlVuRuPp8rV4nCUksdJPrF/mjSt8J5ibj3r9IOUYbj3oAglkDigDLuT1oA9a0Zmn8C2oZssbQrk/QigDxXxwD/asDEcGAAH8TQBzFAHrmk2yWmkWsKdBGPxJGTXxuJm6laUn3Nlsej2emXsnw3lhS2kMsk+9UxyV45r1IUpvA8qWpN/eOetfD2spdwt9gnGHByU6c15jwtdK/Iyro9D0zQLu2Gp73XbcQ7EGDweev511ZVKs4VOem46deop201OfHgubodRAI6jyf/r18rUzWVOTjKnZrzNlAxLf4TmLWjfPrGYt5cRLb4x+Oa9SnxfKFNR9ldrz/wCAR7HXc0dZ0ObQNHubjTtRlimlXyTJsGVBPJHoeK9LJ+IqmPxPsJwS0b0fYmdNRVzyo+DbZsme9upWJzksK+rMRp8GaeP+W9z/AN9D/CgDVsdOttNg8q3TH95jyW+poAZqdmNUnWa7uLglEEaBZNoVR0AAoAoPo+lqfnzu/wBqZs/zoA4KgAoA1vC//I1aT/19x/8AoQoA+hfEB/4kV5/1zoA8l1KRVhVC2CTnHtQBmh19aAHiRfWgB4kWgDV8P2s2o65aW9qm+UyBgvTIXk/oDQBa8b/8g+6/6+P6mgDzwUAOFADhQBIDQB7P4XbGh23/AFzX/wBBFAHIeJfBFpea/c3S3c0PnEOUQDAJHP8AjQBRi+Humlf3t5dO3qCB/SgCdfhzo5/5ebz/AL7X/CgC7H8OvD20BkuWOOT5vWgDr/AfhLSdC1ma6sUlErQFDvk3DGQf6V8rxd/uUf8AEvyZtR+I1PiW2zwix/6bx/1r5vhX/kYr0ZpW+E8aNx71+nHKMNx70ANNx70AQTSBhQB6r4XmafwVajHIidAPoSKAPIfG+ftVp/1zI/WgDlaAPYdLlWeys5EOVZE5/CvjpRca7i+/6m3Q97ij1IavEUaIaaIcFcfNur6pKp7X+7Yy0sauBW4ipffbQYfsYiK7/wB5v/u+1c1eNVuPs3bXUat1OM13Xbmw126gjSMqCCNwP90e9fI53l1Kti3OV72RtTk1E4+T4iamfEcFmPs62vnrHIVjySCQD1P1px4aw31OVV3crNrX7g9q+ax32v2a32kTRMSOjL9R0rw+GpuOZQt1v+RpV+E8Pe/udxG8DHoK/UjkIzfXH/PT9BQBZsp3lD72JINAFnU4Y38NXbbcvsznvwaAPOic0AZ4oAKAN3wZEs3jPSUfO37Qp49uf6UAe+eID/xIrz/rnQB49q/+ti/3TQBQBoAcDQA8GgDrvhsceO9P/wC2n/oBoAi8Z7TY34bGfOJXPruoA86Ct6GgBwVvQ0APCN6GgBwRvSgD2Pw8klvpMEUqlJFRQynqPlFAFfV3/wBPP+6KAKayYoAnSagCwk1AHQeGJidV29mjOa+a4rgngLvo0a0fiD4pjHgO7m5zDJG4A7/MB/Wvk+GJ8uYwXdNfgbVfhPno6tJ/zwb86/UTkFF/dSLlLSRh6gEj+VACG6vv+fOT/vg0APxqrKCunzYPfy2oA9o8M2s9h4Xs7e4x53llmA7FiTj9aAPOfF2lETWf2ndh4y6gHGMnn+lAHNHS7b0b/vqgDsvCN3bxxLp8nDId0RJ6j0rw8ywzjNV4rTqaRfQ9p1Hx3ELBF05W+0HG7evC8frV180ioL2W4lDuZMPjbWHmRWki2lgD8lcX9q1yuRG9b+LXtrjGocxMpwUTkH6V0YbNHzWrbCcOxxHi/XYPtl1fx5/e4ESnqTgD+lYyj9exV47B8KPOLacpqEM75YiVXPvzmveq070ZQXZr8CFufRV5texcsOCua/K8kfJmNLXqddT4WfP90ojupkHRXYD86/WjjK5NAFzTm+aQewoA13Bl0S7jHBMbgZ+lAHmVAFby19KADYvpQB1Pw5gjl+IeiI6Aq1yAR+BoA+gfGWiG28P308DbohHllPUUAeDat/rY/wDdNAFAUAOFADwaAOn+H8/keN9MbGdzlOvqpFAFbx4rJOUYYYXLg0AcaDQA4GgBwNADgaAPe9XjjhexZFwZLOJn9ztx/SgDkdXf/Tz/ALooAph6AHh6AJUlxQB0nhGTdraj/pm1fOcVf8i5+qNaXxHR+LGVPDlzu6EoPx3CvjeHP+RlT+f5M2q/CzzQhP7o/Kv1U5BhIHTigBhagCMtQB2MUgNvGQeNg/lQBwfj4k3dke3lt/OgDjiaAEDFGDKSGByCO1JpNWYHRaf4tlgUR3kfmqON68N+PrXkYjKYzfNSdvLoWp9zZh8WaWZY/nlHzDqnSuD+ysR5feVzo2PEXiFLeGMwR72JIBbgVvRyibd6rt6Cc+xwt3eTXkxlncsx/IfSvbo0YUY8sEQ3crhtrAjqDmtGrqwj6QikabR45MZZ4A2B6la/IcLy0swjfZTX5na9YnhOqxH+2L5Y0JCSuSFHQAnJ+lfr5xGS13ABkzJ+dAEtlqNpHKxadACKAOo0W5tb61ukjkWTAwcdgRQB5o4wxA7GgCmKACgDq/hr/wAlG0L/AK+R/I0AfQ/xO1eLRvAd/PKCRJthAAzyx/8A10AfM19r9tcyKVSQBRjkD/GgCqdXhHSNzQAn9sx/88m/OgAOtgH5YT+LUAen+BvDWoSN4e8TRIJLKeciQJy0RBZefbjrQBkfEQ51Cb/r6k/nQBxNACg0AOBoAcDQB7zqtytzp2i3Crt8yxjOD16CgDifEN4La8jzFK25OqLnvQBkJqzNnFjc4z32j+tAD/7VkAOLGcnsMr/jQAqapckA/YGHsZVoA6LwXqFzL4ptIzamNW3Bm8wHjae1eFxIk8tqX8vzRpS+JHoviZFfw7e7lBATIz6gjFfBZFJxzGlbudFT4WeU76/WjjGlqAGM1AEZagDqrV/9Ch/3B/KgDkPHjZWx+r/0oA4vNACZoAQ0AIDhh9aAPQNUtFutMjn3kBXAGB1yKAMT7DH3ZqAGGxj/ALzUAe+6Luk8OWOWyzWqcn/dFfkGLap5hNpaKb/M7VrEztS0Wzh0DWBbQpHPc20nmSkZJO01+vJ3VziPmemAUAdl4AkxPex46qrZ/E/40AcxfoYtQuUIwVlYY/GgDMoAWgDqvhr/AMlH0L/r5H8jQB7b8dD/AMW2m/6+ov5mgD5eoAKACgAoA+ovgZz8NIc/8/Mv8xQB5d8SMDV7kDoLyT+ZoA4egBaAFBoAcDQB7dcv/wASHQP+vCP+QoA5LxC2Z4P90/zoAxw1ADg1ADw1AHQ+CnH/AAldnk/3v/QTXh8Rr/hNqfL80aUviR6T4o3/APCM3/lruby+ntkZ/Svz7JGlmFJvudFT4WeRb6/XTjEL0ANLUARlqAOmsJM2EOT/AA0Ac143INlaevmN/KgDic0AJmgBCaAENAHou5ZPDwYE4HlkfkaAMkmgBhNAHtnhJxJ4T04hs/usZz6E1+SZ2nHMaunU7Kfwot3KCWynhYnDxshPfkYr9WoScqUZPqkcb3PlZ12yMo6AkVqAygDuvhhbJd6jrMTDc66ZLJGoODvGMfzNAGc+mWTuXaBWZjkkk5JoA4+gBaAOq+GoJ+I2h4BOLkHj6GgD2r45HPw4m/6+ov5mgD5hoAKACgAoA+oPgc2PhpD/ANfUv8xQB5h8RgTqt23YXkmfzNAHDUALQAuaAFBoA9ouX/4kWg/9eMf8hQByniAnzoT22mgDI3UAKGoAcGoA2/CTZ8Vad/12H8q8rPP+RdV9C6fxI9e1zjQb/wD693/ka/Mcs/32l/iX5nVP4WeJF6/YziEL0AIXoAYWoA6PTpC2nxZ7Aj9aAMLxlhtMiY9RNx+INAHEZoATNABmgBCaAO/smWTw1n0iTH1BAoAzSaAGk0Aex+AZVk8I2oX+BnU/XcT/AFr8t4lg45lO/W35HXS+E1spllXBXJFfouWycsHSb/lX5HNL4mfLupoItVvIwu0LM4C+nzGu0kq0Adx8JpF/4TqOFsj7RazwggZwSh5/SgCNxtdl9DigDhKACgDt/hJx8StK/wC2n/otqAPW/jec/Dmb/r5i/maAPmSgAoAKACgD6a+CLgfDeIZ5FzL/ADFAHm3xCP8Ap97/ANfr/wAzQBwm4DuKAF3r/eH50AJ5qDq6/nQAvnR/31/OgD2WWWKbw3oUsciuPsirlTkcAUAcxr7f6j8f6UAY28DqaADzB6j86AENxEpw0iA+hYUAbfhO5iXxVppaRQPPA6+vFeXnUXLL6qXYuHxI9o1qD7Tod/Du277dxu9PlNfluBnyYqnLtJfmdctmeDtOoGTnA9jX7McI2OcTEiNZGI64jb/CgBzmRRnyJz9IWP8ASgAjWeVcrbXGPeIj+dAHQ6cWSxjV0ZGGeGGD1oAxPFMOo30cdvZWnmKG3tIXAHTpjNAHL/2BrucfY1H/AAMf40ASHwzrf9yAf8DoAVPDGss2GNuo9S2aAJ7fwnfGYfabqJYu/l8n9RQB1McS2+nvaxKCPL2LuPTnrQBmvZXf8DQD65oAQWNxt+eWIN7Kf8aAPaPB2njTfDNpGJfMMg80nGOW5xX5Nn2JdfHzbVrafcdlNWiLrehXuqqUttan09G6+REpY/8AAj0/CvQwfFFbC0I0FTTUVbdkypJu5w0nwQ095Gmm1y+kYksxKrlj9a6lxhXbt7NfeyfYrueeHwtYpKcvMwB6Fuv6V98ndXOc29Gm/wCEfu0utOSOKZAQrbc9Rj+tMClJb785mlyTnggf0oA5T+xdR/ux/wDfVADxoN+wGXhB9Mn/AAoA0dFt9b0DVoNS0+5gS5hJKMw3DkYOQR6GgD0PVPG914j8Mz6RrdhayPJtKywkgZBBztP49DQB57ceGLeQ5glaL1B+YUAQjwn/ANPf/kP/AOvQBInhJM/PdsR7JigCQeEbf/n6k/75FAG34ftrvw3cCfTdVu4Xz8yqw2N9VIwaANC/ZdUlmku0SQzMXcEcZNAGN/wiulk/cl/77oAcvhTSgQfLkOOxc0ASP4e0OPHmQomem6Uj+tADo9F8PI2fLgP+9Ln+tAGhb3ulafF9miureKMHd5fmjAJ/GgBZdR0a4x51zZybem51OKAKjX/hc8O9kceqA/0oAkGs+GoIsLLaBV7LHn+lADP+Ek8M/wB6H/vwf8KANPRvFWiza7p8MM2+SS4RFCxnqSPauHM/9yq/4X+RUPiR7LdnFnOfSNv5V+R4X+PD1X5nY9jx3+29OH/L3H+dftRwkTeIdNViPtIP0UmgBp8Rab/z8f8Ajp/woAhPifTs/fk/74oAY3ifTwCQZCfTZQBCfFNn/wA85vyH+NAEb+KbUD5YZSffAoA0LG+W/thOqFQSRgmgBZLqONyjZyOvFAEJvo/RqAGG9T0agBhvV/uGgBjXo7IfzoA67TPiP/ZumW9n/ZvmeSu3d52M/pXyOO4W+tYidf2tuZ3tb/gm0atlaxJL8VLnf+60yIL/ALUhJ/lWMODqVvequ/oP277Hc+HdVfW9Dgv5YljaXdlFOQMEj+lfJZpg44LFSoRd0ra/K5tCXMrniHiaWXS9amgRV2ElhuGMcmv1rCy5qEJXvdL8jje5jHVpz/Cn5VuIZ/alz6r/AN80AWBfwerflQAv9oQjpuP4UAKNSi/uv+VAFyLzLnR9Q1CDaFs0DMH6nOcY/KgDkj4l1DPBjA9NlAAfEuokEb4x77KAI/8AhIdT/wCfj/xwf4UAI+v6m4x9qYfQAUAN/tzU/wDn8l/OgBr6vqMhBa8m49GxQA3+1L//AJ/Z/wDv4aAO18LzyS6QryyM7GRsljk0AYXjM51aL/riP5mgDnKACgAoAKACgAoA1PDc4tfE+lTlSwju4mIHf5hXJj4c+FqRXWL/ACHHdH1pcIsltKjjKshBHqMV+OU21NNHcfLbkb2xwM8V+2x2RwDc0wDNACZoAM0AJmgBM0AdT4dcnTmB6LIcfpQBLdnF0/1oArk0AITQA0mgBpNADCaAGk0AeyfDeTf4SRd+4pM4xnpznH61+Y8UxtmDdt0jqo/CeYfEaIxeJpCxGSW6f7xP9a+9ymangaTX8qOefxM4+vRJEoAWgBaAFoA3tPcr4M18A43CMH6fNQB57QAUALQAUAFABQAtAHdeFTjRk/66NQBjeMDnVYv+uI/maAOeoAKACgAoAKACgC7o/wDyG7D/AK+Y/wD0IVhiv4E/R/kNbn17KMwuB12mvxePxI7j5YlDJK6sCGViCD2NftsGnFNHAMzVAGaAEzQAZoATNABmgDpPDj5tJV9Hz+lAFm9P+kH3A/lQBWJoAQmgBpNACE0ANJoAaTQB6x8LJVbQbuMfeS4yfxUf4V+d8XwaxcJd4/qzpo7Gd4u8KW+r688stxIgU5IUDJzg4r6rh6blltK/mvubManxM8q8WWaaJrjWdqzGIRq2X5OTXtEGEbqU9x+VAGhQAtAC0AdBZRkeBtclzwXjXH0DH+tAHnlABQAUALQAUAFABQB2vhOQnSyp6LKQPyFAGX4u51SP/rkP5mgDn6ACgAoAKACgAoAnspWgvreZcFo5VYZ9Qc1nVipU5RfVMEfYkbFo1Y9SAa/E2rOx3ny5qRzql5/13f8A9CNftOF/gQ9F+Rwvcq5rcQHigAXLfd5+nNAAQw6q35UAKscjjKoxH0oADHIDzG//AHyaAOg0BJIoZg6FQSCCe9AFvUQ0SNcuCIVUZagDGOr2vq3/AHzQAjavbAcbz+FAEf8AbEH9yT8hQA1tYi7RuaAG/wBsR/8APJvzoAY2sDPEJx7tQB1HhT4knwxbXMP9mC4Ezhs+btxgY9DXgZzkf9pTjPn5bK21zSFTlO6sNbPiCxh1RoFge4BLIpJAwSOv0ArsyrCrCUHh1K/K/wDg/qTN3dzzT4lJt8QQPtxutxzjqQTXpknF0Aa1AC0ALQB0tiC3gDWFUEkzIAB/umgDz1radDhoZAfQqaAAW05GRE35UAL9ln/55N+VADhY3H/PP9RQA4WFwTjy8fiKAHf2dcf3V/76oAVdMuD12j8aAOr8K20iwT2/y7kzKTnjHAoAx/Frf8TSP/rkP5mgDn91ABuoAN1ABuoANxoANxoAfCT58f8AvD+dTL4WB9kw/wCoj/3R/KvxKXxM7z581W1W21e8hYKxSd1Jx1+Y1+y4GfPhacu8V+Rwy3ZSEcYORGgPrtrqEO49KAE4HQUAGaADNACZoAv2DfumHvQBZ1Mg+HbrP9w/zoA8+zQAUAFACUAFABQAlAHpfhvWxp/hG081Wl2mXaARwAxOP1/WuWjyqtUS7p/gv8hvZHHeLPEMfiK7t5YoGiWJCuHbJOTmuoRz+KANWgAoAWgDq9EP/FH6j/18x/yoA53Uf+Ps/QUAVaAFzQAuaAFzQAuaADNAG94YP+lXf/Xs38xQBzvi5QL6B+7R4P4GgDnqACgAoAKACgAoAUEqQR1HSgD7E0p2k0iykc7naCMsT3JUV+KYhJVppd3+Z3LY8I15i3iHUif+fqT/ANCNfruWf7lS/wAK/I45/EzOzXcSGaADNACZoATNABmgC7Yt8rj3oAu3Jzot0D/zzb+VAHn1ABmgBKACgAoASgAoA63RfLbw4uGy4uJFZcdiq4/rXNBy+sSVtLL9R9DjmGHYdMGukQlAF77RF/e/SgA+1R+p/KgDW8OaTN4m1ZdOs3jSYozgy5AwPpQB3Nz4SvvDHhK7F5LA/mXEZHlMT7dwKAPP9RP+ln6CgCrQAtABQAtAC5oAXNAG54ZP+lXf/Xs38xQBg+Lf+Pq2/wBw/wA6AOdoAKACgAoAKACgAoA+w9H/AOQJYf8AXtH/AOgivxXFfx5+r/M7lseIeLI0h8V6mkYwvnsce55P86/V8lk5ZfSb7I5J/EzGzXpkCZoAM0AJmgAzQAmaALlgclwOTxQ3YDTIIsJwynG1uo9qSaewHndMB/lSf883/wC+anmj3AdHbXErhI4JXc9FVCSaUqkIq7aQE39k6l/0D7r/AL8t/hWf1qh/OvvQ7Mng8O61cgmHSb2QA4JWBjj9Kznj8LD4qkV80HK+xL/winiH/oCah/4Dt/hUf2ngv+fsfvQ+SXYsx+BPFMsaumh3m1hkZTH6GsZZ1l8XZ1UPkl2Nmz0XVND0R01TTZbUtchkeQfeG3kfoKMNjcPicS3QqKXu6peoOLS1OSl0i7eeQhFwWJBLdea9QgZ/Yt56J/31QBn0ALQB3XwjOPHcX/XvJ/KgD1T4ht/xSz/9dk/nQB4bqB/0o/QUAVaAFoAKAFoAWgBc0Abfho/6Tdf9e7fzFAGF4s/4+rf/AHD/ADoA56gAoAKADBoAXB9DQAbWPY0ALsb+6aAPrXwkS3g/RixJJsosk/7or8czNWxlW38z/M7Y/CijfeAdD1G+nvLhJzNM5d8SkDNd+G4ix2HpRo02rLbQl0ot3IF+G3h1WB8mdsHoZjg1s+KcxatdfcL2USx/wr/w1/0D/wDyK/8AjWH+seZf8/PwX+Q/ZR7EkXgTw3C24aYjcYw7sw/U1M+IcymrOr9yS/Qfs49iX/hDfDv/AECbf8j/AI1l/bmY/wDP1h7OPYni8L6FCmxNJtMe8QP86ynm2Om7urL7x8kew/8A4RzRf+gTZf8Afhf8Kn+08b/z9l97Dkj2LcVhZwkGK1gQjgFYwMVzyxFaekpt/NjsiR7eGVdskUbr6MoNTGrUi7xk18x2K/8AZOnf9A+1/wC/K/4Vf1qv/O/vYrIs+TF/zzT/AL5FZc8u4xViQHKooPqBT99oB+D6UuSXYBdj/wB1vyrX6rX/AJH9zFdDSMHB4PoaqODxEnaNN39GHMu4jEIhZiAoGSSela/2Zjf+fUvuYuePc8/+Ieq6ff6LFb2l7bzSrOGKpIDgAEGvpuF8FiaOKlOrBxVraq3VGVWSa0PK5LqCLG6aPn0YH+VfenOILy2YZ+0Rfi1AHI0AFAHofwdRW8XTsygsloxU+nzKKAPQfiQf+JBB/wBfA/8AQTQB5BeQozhznJ96AK4gj9D+dADvJj/u/rQAohjH8NADvKj/ALooAURoP4R+VADtif3R+VAF7SyEvOwzG4+vymgCn4gjjbT95RS4YAMRyBQBy2B6CgBcD0FAC0AFABQAUAGaAPa9C+Id1Z6DYWyWMDrDbogYuecDFfKYjhSjXrSquo1zNvZdTZVmlaxZk+KV6jlRp1vx/ttWUeDsOnrUf4B7Z9hH+Kt6UIXTLdWxwTIxxW3+qOC/ml96/wAg9tIqj4oayDn7NZkemxv8auHCeAj8Tk/n/wAAXtpDJvibrcgAjjtIiOpVCc/ma0/1Vy7s/vD2siH/AIWJ4gmwnnwpznKRDP61rDhrLYq3Jf5sXtZA3jjxAFP+n/8AkNf8Kr/VzLf+ff4v/MPay7jB498RAAfbhx6xJ/hW/wDYeXf8+kL2ku5Ubxfr5bP9qT9c8EVUcly+LuqSDnl3Ek8X6/IhRtVuNp64IH6itf7MwX/PqP3IXPLuVh4h1kHI1S8z0/1zf41cMDhYfDTivkhcz7kZ1W/lJeS9uGYnkmVuf1rT6rQ/kX3ILsuzavqltoE0ltqNzDJtyWSVgeD9a0jThFWSSEcnP4m126QJPrN/IoOcNcMefzp8sewFf+2NU/6CV5/3/b/GqAhmvbqdt01zNIwGMvISf1oAi86X/no//fRoA1dLO62cHnJOfyoA589TQAlAENABQB6H8HTjxXc/9ejf+hLQB3vxHOdBg/6+B/6CaAPJ7r+GgCCgBaACgBaAFzQAuaALWnANfRKehz/I0AQa6f8AiWN/vCgDlqACgAoAKACgAzQAtAHZ6Uf+JXb/AO5QAsoIlbJzk5FADM0AGaAEzQA+I/vRQBZY/KaAIc0AJmgAzQAmaAHoeKALsg8zQbhSf4G/xoA4ugBKACgBKANXR2GHHuKAMWcbZ5ARghjx+NAEdAH/2Q=="
],
// Laden Sie den ganzen Satz der Frage direkt hoch
"question": "aws:toycarcity:carcity"
}
}
Beispielantwort
{
"errorId": 0,
"status": "ready",
"solution": {
//carcity point
"box": [
116.7,
164.1
],
//wenn die Frage `bifurcatedzoo`
"distance": 500
},
"taskId": "cbb1c730-e569-4ba6-b5fc-e06377694aa7"
}
SDK-Anforderung verwenden
#pip install --upgrade capsolver
#export CAPSOLVER_API_KEY='...'
import capsolver
# capsolver.api_key = "..."
img_path = os.path.join(Path(__file__).resolve().parent,"queue-it.jpg")
with open(img_path,'rb') as f:
solution = capsolver.solve({
"typ":"AwsWafClassification",
"question":"aws:toycarcity:carcity",
"images" : [
"/9j/2wCEAAoHBwgH...",
]
})
print(solution)