Linux下的python的pip问题

今天我安装了python3 然后pip安装tornado,测试发现导入不成功,通过find命令查到pip把tornado安装到python2.7里面去了
图片说明
通过搜索命令发现在python3.6里面有一个pip,于是我到usr/bin目录下面删除了pip的软连接
然后设置python3.6的pip软连接发现pip用不了
图片说明

4个回答

用pip3 ~ 这个还要字数限制 ~ 我觉得回答问题需要的是提供思路 ~ 其他的都在google里面

修改环境变量就可以解决以上的问题

qq_39511609
萧潇墨 我设置了还是没有用啊 设置代码如下 export PATH=/usr/python3.6/Tools/msi/pip:$PATH wq保存 source /etc/profile,然后执行pip 提示bash: pip: command not found
接近 2 年之前 回复

ln -s path/pip /usr/bin/pip
你ln命令使用错了,还差目标位置没有指定

ln -s path/pip /usr/bin/pip
你ln命令使用错了,还差目标位置没有指定图片说明

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关于python安装pymssql报错,求大神指点,在ubuntu14.04下
报错内容: ``` (pyenvdata)lin@lin-ThinkPad:~$ pip install pymssql Downloading/unpacking pymssql Downloading pymssql-2.1.1.tar.gz (2.4MB): 2.4MB downloaded Running setup.py (path:/home/lin/pyenvdata/build/pymssql/setup.py) egg_info for package pymssql setup.py: platform.system() => 'Linux' setup.py: platform.architecture() => ('64bit', 'ELF') setup.py: platform.linux_distribution() => ('Ubuntu', '14.04', 'trusty') setup.py: platform.libc_ver() => ('glibc', '2.4') setup.py: Not using bundled FreeTDS setup.py: include_dirs = ['/usr/local/include'] setup.py: library_dirs = ['/usr/local/lib'] Installed /home/lin/pyenvdata/build/pymssql/setuptools_git-1.1-py2.7.egg Installing collected packages: pymssql Running setup.py install for pymssql setup.py: platform.system() => 'Linux' setup.py: platform.architecture() => ('64bit', 'ELF') setup.py: platform.linux_distribution() => ('Ubuntu', '14.04', 'trusty') setup.py: platform.libc_ver() => ('glibc', '2.4') setup.py: Not using bundled FreeTDS setup.py: include_dirs = ['/usr/local/include'] setup.py: library_dirs = ['/usr/local/lib'] building '_mssql' extension x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/local/include -I/usr/include/python2.7 -c _mssql.c -o build/temp.linux-x86_64-2.7/_mssql.o -DMSDBLIB _mssql.c:314:22: fatal error: sqlfront.h: 没有那个文件或目录 #include "sqlfront.h" ^ compilation terminated. error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 Complete output from command /home/lin/pyenvdata/bin/python -c "import setuptools, tokenize;__file__='/home/lin/pyenvdata/build/pymssql/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-c75p_h-record/install-record.txt --single-version-externally-managed --compile --install-headers /home/lin/pyenvdata/include/site/python2.7: setup.py: platform.system() => 'Linux' setup.py: platform.architecture() => ('64bit', 'ELF') setup.py: platform.linux_distribution() => ('Ubuntu', '14.04', 'trusty') setup.py: platform.libc_ver() => ('glibc', '2.4') setup.py: Not using bundled FreeTDS setup.py: include_dirs = ['/usr/local/include'] setup.py: library_dirs = ['/usr/local/lib'] running install running build running build_ext building '_mssql' extension creating build creating build/temp.linux-x86_64-2.7 x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/local/include -I/usr/include/python2.7 -c _mssql.c -o build/temp.linux-x86_64-2.7/_mssql.o -DMSDBLIB _mssql.c:314:22: fatal error: sqlfront.h: 没有那个文件或目录 #include "sqlfront.h" ^ compilation terminated. error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 ---------------------------------------- Cleaning up... Command /home/lin/pyenvdata/bin/python -c "import setuptools, tokenize;__file__='/home/lin/pyenvdata/build/pymssql/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-c75p_h-record/install-record.txt --single-version-externally-managed --compile --install-headers /home/lin/pyenvdata/include/site/python2.7 failed with error code 1 in /home/lin/pyenvdata/build/pymssql Traceback (most recent call last): File "/home/lin/pyenvdata/bin/pip", line 11, in <module> sys.exit(main()) File "/home/lin/pyenvdata/local/lib/python2.7/site-packages/pip/__init__.py", line 185, in main return command.main(cmd_args) File "/home/lin/pyenvdata/local/lib/python2.7/site-packages/pip/basecommand.py", line 161, in main text = '\n'.join(complete_log) UnicodeDecodeError: 'ascii' codec can't decode byte 0xe6 in position 46: ordinal not in range(128) ```
我给自己的Python程序写了一个setup.py文件,可以安装,但是无法import,执行可执行文件也报错怎么办?
我自己写了一个用于科学计算的Python程序,用于比较晶体结构相似性,对大批量的晶体结构自动分类,方法原理我在这篇文章里描述了[J. Phys. Condens. Matter 2017, 29, 165901]。现在我想做成一个Python egg,写了一个setup.py文件如下: ``` from setuptools import setup, find_packages setup( name='spap', version='0.3.0', packages=find_packages(), license='GPL', platforms="Independant", # install_requires=['numpy>=1.8.0', 'spglib>=1.10.0', 'ase>=3.13.0'], install_requires=['numpy', 'spglib', 'ase'], entry_points={ 'console_scripts': [ 'spap = src.spap:start_cli', ] } ) ``` 我用sudo python3 setup.py install能安装,安装包的目录如下所示: ``` ./ ├── build │   ├── bdist.linux-x86_64 │   └── lib │   └── src │   ├── ccf.py │   ├── __init__.py │   └── spap.py ├── dist │   └── spap-0.3.0-py3.6.egg ├── example │   └── run.py ├── setup.py ├── spap.egg-info │   ├── dependency_links.txt │   ├── entry_points.txt │   ├── PKG-INFO │   ├── requires.txt │   ├── SOURCES.txt │   └── top_level.txt └── src ├── ccf.py ├── __init__.py └── spap.py 8 directories, 15 files ``` 可以安装到系统上,pip3 list能显示出来,我执行spap -h命令就出错: ``` Traceback (most recent call last): File "/usr/local/bin/spap", line 11, in <module> load_entry_point('spap==0.3.0', 'console_scripts', 'spap')() File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 480, in load_entry_point return get_distribution(dist).load_entry_point(group, name) File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 2693, in load_entry_point return ep.load() File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 2324, in load return self.resolve() File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 2330, in resolve module = __import__(self.module_name, fromlist=['__name__'], level=0) File "/usr/local/lib/python3.6/dist-packages/spap-0.3.0-py3.6.egg/src/spap.py", line 70, in <module> ModuleNotFoundError: No module named 'ccf' ``` 而且在python3里import spap输出如下: ``` >>> import spap Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'spap' ``` 请问这个怎么办?
AIX系统Python缺少_ctypes模块
AIX6.1,自带的Python2.7.5,试图在上面安装setuptools插件,报缺少_ctypes模块, ![图片说明](https://img-ask.csdn.net/upload/201708/03/1501740395_976629.png) 检查了Linux系统和Windows,在Python的lib库里面有_ctypes.so和_ctypes_test.so两个库,但AIX下只有test一个。 ![AIX](https://img-ask.csdn.net/upload/201708/03/1501740669_470043.png)AIX系统 ; ![Ubuntu](https://img-ask.csdn.net/upload/201708/03/1501740697_443887.png)Ubuntu系统 试过重装Python-libs这个RPM包,但报包冲突。升级Python也是诸多系统库缺少或者安装冲突。 求助各位大神,该如何破,缺少_ctypes模块,不仅setuptools,还有pip等组件都装不了。
ubuntu输入不存在的指令自动联想安装指令
如果我在ubuntu16.04 Desktop上输入pip3,会提示: ``` The program 'pip3' is currently not installed. You can install it by typing: sudo apt install python3-pip ``` 如果我在docker容器里运行ubuntu镜像(就是那种最小镜像,基本上什么库都需要自己现装的),执行pip3,会提示 ``` -bash: pip3: command not found ``` 而没有提示怎么安装,我应该安装什么库以获得这种提示?
linux中tensorflow的安装问题
我的Python版本是2.7.13、pip install tensorflow之后显示安装成功。 然后进入Python编写代码时写入import tensorflow as tf之后报错了, ![图片说明](https://img-ask.csdn.net/upload/201707/13/1499948594_580219.png) 能否请各路大神解答一下这是怎么回事,如何解决,谢谢啦!
小白求助:pip安装依赖时,报错readtimeout?
1.在Ubuntu下利用pip安装如下图的依赖时,报错reantimeout ![图片说明](https://img-ask.csdn.net/upload/201906/01/1559391278_859473.png) 报错具体情形如下图 ![图片说明](https://img-ask.csdn.net/upload/201906/01/1559391327_334719.png) ![图片说明](https://img-ask.csdn.net/upload/201906/01/1559391347_796285.png) 根据此错误将连接默认时间(15s)修改为1000s,但是依然同样错误。 还有一次下载至99%,报错memoryerror,设置了--no-cache-dir,依然报错。
报错 :error: command 'gcc' failed with exit status 1
系统: CentOS6.5 ,Python3.6 安装 mysqlclient 时候 报错:error: command 'gcc' failed with exit status 1 以下是错误信息: Collecting mysqlclient Using cached mysqlclient-1.3.10.tar.gz Installing collected packages: mysqlclient Running setup.py install for mysqlclient ... error Complete output from command /usr/local/python3/bin/python3.6 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-t3olsi0s/mysqlclient/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-oqq8k4wv-record/install-record.txt --single-version-externally-managed --compile: running install running build running build_py creating build creating build/lib.linux-x86_64-3.6 copying _mysql_exceptions.py -> build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/__init__.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/compat.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/connections.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/converters.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/cursors.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/release.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/times.py -> build/lib.linux-x86_64-3.6/MySQLdb creating build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/__init__.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/CLIENT.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/CR.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/ER.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/FIELD_TYPE.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/FLAG.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/REFRESH.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants running build_ext building '_mysql' extension creating build/temp.linux-x86_64-3.6 gcc -pthread -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -Dversion_info=(1,3,10,'final',0) -D__version__=1.3.10 -I/usr/include/mysql -I/usr/local/python3/include/python3.6m -c _mysql.c -o build/temp.linux-x86_64-3.6/_mysql.o -g -fstack-protector -m64 -fPIC -g -fabi-version=2 -fno-omit-frame-pointer -fno-strict-aliasing In file included from /usr/local/python3/include/python3.6m/Python.h:8, from _mysql.c:40: /usr/local/python3/include/python3.6m/pyconfig.h:600:1: warning: "HAVE_MBRTOWC" redefined In file included from _mysql.c:29: /usr/include/mysql/my_config.h:439:1: warning: this is the location of the previous definition gcc -pthread -shared build/temp.linux-x86_64-3.6/_mysql.o -L/usr/lib64 -lmysqlclient -lpthread -lm -lrt -ldl -o build/lib.linux-x86_64-3.6/_mysql.cpython-36m-x86_64-linux-gnu.so /usr/bin/ld: cannot find -lmysqlclient collect2: ld returned 1 exit status error: command 'gcc' failed with exit status 1 ---------------------------------------- Command "/usr/local/python3/bin/python3.6 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-t3olsi0s/mysqlclient/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-oqq8k4wv-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-t3olsi0s/mysqlclient/ 按照别的帖子 yum install 了 python-devel了还是一样..而且 安装的python-devel的version 是2.6.6的 跟我的Python版本不符,但是yum仓库里又没有 3.6的 python-devel 如何解决?菜鸡求助...
pwntools安装问题,急=!!!!!!
``` $ git clone https://github.com/Gallopsled/pwntools $ pip install --upgrade --editable ./pwntools ``` 按照官方以上方法安装的,出现下图问题 ![图片说明](https://img-ask.csdn.net/upload/201909/07/1567841764_511639.png) 有大佬知道怎么解决吗
SNIMissingWarning + InsecurePlatformWarning
用pip安装一些包时遇到 SNIMissingWarning + InsecurePlatformWarning (unbuntu 12.04.5/python 2.7.3/pip 9.0.1) 具体细节如下,请高手指点,多谢! aiboat@ubuntu:/usr/local/bin$ sudo -H pip install pyopenssl ndg-httpsclient pyasn1 --upgrade /usr/local/lib/python2.7/dist-packages/pip/vendor/requests/packages/urllib3/util/ssl.py:318: SNIMissingWarning: An HTTPS request has been made, but the SNI (Subject Name Indication) extension to TLS is not available on this platform. This may cause the server to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/security.html#snimissingwarning. SNIMissingWarning /usr/local/lib/python2.7/dist-packages/pip/vendor/requests/packages/urllib3/util/ssl.py:122: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/security.html#insecureplatformwarning. InsecurePlatformWarning Requirement already up-to-date: pyopenssl in /usr/local/lib/python2.7/dist-packages Requirement already up-to-date: ndg-httpsclient in /usr/local/lib/python2.7/dist-packages Requirement already up-to-date: pyasn1 in /usr/local/lib/python2.7/dist-packages Requirement already up-to-date: cryptography>=1.9 in /usr/local/lib/python2.7/dist-packages (from pyopenssl) Requirement already up-to-date: six>=1.5.2 in /usr/local/lib/python2.7/dist-packages (from pyopenssl) Requirement already up-to-date: asn1crypto>=0.21.0 in /usr/local/lib/python2.7/dist-packages (from cryptography>=1.9->pyopenssl) Requirement already up-to-date: cffi>=1.7 in /usr/local/lib/python2.7/dist-packages (from cryptography>=1.9->pyopenssl) Requirement already up-to-date: ipaddress in /usr/local/lib/python2.7/dist-packages (from cryptography>=1.9->pyopenssl) Requirement already up-to-date: enum34 in /usr/local/lib/python2.7/dist-packages (from cryptography>=1.9->pyopenssl) Requirement already up-to-date: idna>=2.1 in /usr/local/lib/python2.7/dist-packages (from cryptography>=1.9->pyopenssl) Requirement already up-to-date: pycparser in /usr/local/lib/python2.7/dist-packages (from cffi>=1.7->cryptography>=1.9->pyopenssl)
Ubuntu系统,想用pip install包,但是一直卡在collecting,请问有大神知道原因吗?
![图片说明](https://img-ask.csdn.net/upload/201903/24/1553417501_576623.jpg) Ubuntu系统,想用pip install包,但是一直卡在这里,请问有大神知道原因吗?
yolo3 darknet.py问题
我用darknetAB https://github.com/AlexeyAB/darknet 编译gpu版本后生成darknet.py文件 然后我也编译了yolo_cpp_dll.sln文件 生成dll文件 然后运行darknet.py文件 不显示图片 异常退出 ![图片说明](https://img-ask.csdn.net/upload/201911/02/1572688446_628910.png) 百度了这个问题 有人说要换python3.5版本 我也尝试了 但是也是不行 不会显示图片。请问各位大佬到底怎么解决??急!!!谢谢!!! ``` #!python3 """ Python 3 wrapper for identifying objects in images Requires DLL compilation Both the GPU and no-GPU version should be compiled; the no-GPU version should be renamed "yolo_cpp_dll_nogpu.dll". On a GPU system, you can force CPU evaluation by any of: - Set global variable DARKNET_FORCE_CPU to True - Set environment variable CUDA_VISIBLE_DEVICES to -1 - Set environment variable "FORCE_CPU" to "true" To use, either run performDetect() after import, or modify the end of this file. See the docstring of performDetect() for parameters. Directly viewing or returning bounding-boxed images requires scikit-image to be installed (`pip install scikit-image`) Original *nix 2.7: https://github.com/pjreddie/darknet/blob/0f110834f4e18b30d5f101bf8f1724c34b7b83db/python/darknet.py Windows Python 2.7 version: https://github.com/AlexeyAB/darknet/blob/fc496d52bf22a0bb257300d3c79be9cd80e722cb/build/darknet/x64/darknet.py @author: Philip Kahn @date: 20180503 """ #pylint: disable=R, W0401, W0614, W0703 from ctypes import * import math import random import os def sample(probs): s = sum(probs) probs = [a/s for a in probs] r = random.uniform(0, 1) for i in range(len(probs)): r = r - probs[i] if r <= 0: return i return len(probs)-1 def c_array(ctype, values): arr = (ctype*len(values))() arr[:] = values return arr class BOX(Structure): _fields_ = [("x", c_float), ("y", c_float), ("w", c_float), ("h", c_float)] class DETECTION(Structure): _fields_ = [("bbox", BOX), ("classes", c_int), ("prob", POINTER(c_float)), ("mask", POINTER(c_float)), ("objectness", c_float), ("sort_class", c_int)] class IMAGE(Structure): _fields_ = [("w", c_int), ("h", c_int), ("c", c_int), ("data", POINTER(c_float))] class METADATA(Structure): _fields_ = [("classes", c_int), ("names", POINTER(c_char_p))] #lib = CDLL("/home/pjreddie/documents/darknet/libdarknet.so", RTLD_GLOBAL) #lib = CDLL("libdarknet.so", RTLD_GLOBAL) hasGPU = True if os.name == "nt": cwd = os.path.dirname(__file__) os.environ['PATH'] = cwd + ';' + os.environ['PATH'] winGPUdll = os.path.join(cwd, "yolo_cpp_dll.dll") winNoGPUdll = os.path.join(cwd, "yolo_cpp_dll_nogpu.dll") envKeys = list() for k, v in os.environ.items(): envKeys.append(k) try: try: tmp = os.environ["FORCE_CPU"].lower() if tmp in ["1", "true", "yes", "on"]: raise ValueError("ForceCPU") else: print("Flag value '"+tmp+"' not forcing CPU mode") except KeyError: # We never set the flag if 'CUDA_VISIBLE_DEVICES' in envKeys: if int(os.environ['CUDA_VISIBLE_DEVICES']) < 0: raise ValueError("ForceCPU") try: global DARKNET_FORCE_CPU if DARKNET_FORCE_CPU: raise ValueError("ForceCPU") except NameError: pass # print(os.environ.keys()) # print("FORCE_CPU flag undefined, proceeding with GPU") if not os.path.exists(winGPUdll): raise ValueError("NoDLL") lib = CDLL(winGPUdll, RTLD_GLOBAL) except (KeyError, ValueError): hasGPU = False if os.path.exists(winNoGPUdll): lib = CDLL(winNoGPUdll, RTLD_GLOBAL) print("Notice: CPU-only mode") else: # Try the other way, in case no_gpu was # compile but not renamed lib = CDLL(winGPUdll, RTLD_GLOBAL) print("Environment variables indicated a CPU run, but we didn't find `"+winNoGPUdll+"`. 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need to return old values to avoid python freeing memory arr = arr.transpose(2,0,1) c = arr.shape[0] h = arr.shape[1] w = arr.shape[2] arr = np.ascontiguousarray(arr.flat, dtype=np.float32) / 255.0 data = arr.ctypes.data_as(POINTER(c_float)) im = IMAGE(w,h,c,data) return im, arr def classify(net, meta, im): out = predict_image(net, im) res = [] for i in range(meta.classes): if altNames is None: nameTag = meta.names[i] else: nameTag = altNames[i] res.append((nameTag, out[i])) res = sorted(res, key=lambda x: -x[1]) return res def detect(net, meta, image, thresh=.5, hier_thresh=.5, nms=.45, debug= False): """ Performs the meat of the detection """ #pylint: disable= C0321 im = load_image(image, 0, 0) if debug: print("Loaded image") ret = detect_image(net, meta, im, thresh, hier_thresh, nms, debug) free_image(im) if debug: print("freed image") return ret def detect_image(net, meta, im, thresh=.5, hier_thresh=.5, nms=.45, debug= False): #import cv2 #custom_image_bgr = cv2.imread(image) # use: detect(,,imagePath,) #custom_image = cv2.cvtColor(custom_image_bgr, cv2.COLOR_BGR2RGB) #custom_image = cv2.resize(custom_image,(lib.network_width(net), lib.network_height(net)), interpolation = cv2.INTER_LINEAR) #import scipy.misc #custom_image = scipy.misc.imread(image) #im, arr = array_to_image(custom_image) # you should comment line below: free_image(im) num = c_int(0) if debug: print("Assigned num") pnum = pointer(num) if debug: print("Assigned pnum") predict_image(net, im) letter_box = 0 #predict_image_letterbox(net, im) #letter_box = 1 if debug: print("did prediction") # dets = get_network_boxes(net, custom_image_bgr.shape[1], custom_image_bgr.shape[0], thresh, hier_thresh, None, 0, pnum, letter_box) # OpenCV dets = get_network_boxes(net, im.w, im.h, thresh, hier_thresh, None, 0, pnum, letter_box) if debug: print("Got dets") num = pnum[0] if debug: print("got zeroth index of pnum") if nms: do_nms_sort(dets, num, meta.classes, nms) if debug: print("did sort") res = [] if debug: print("about to range") for j in range(num): if debug: print("Ranging on "+str(j)+" of "+str(num)) if debug: print("Classes: "+str(meta), meta.classes, meta.names) for i in range(meta.classes): if debug: print("Class-ranging on "+str(i)+" of "+str(meta.classes)+"= "+str(dets[j].prob[i])) if dets[j].prob[i] > 0: b = dets[j].bbox if altNames is None: nameTag = meta.names[i] else: nameTag = altNames[i] if debug: print("Got bbox", b) print(nameTag) print(dets[j].prob[i]) print((b.x, b.y, b.w, b.h)) res.append((nameTag, dets[j].prob[i], (b.x, b.y, b.w, b.h))) if debug: print("did range") res = sorted(res, key=lambda x: -x[1]) if debug: print("did sort") free_detections(dets, num) if debug: print("freed detections") return res netMain = None metaMain = None altNames = None def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yolov3.cfg", weightPath = "yolov3.weights", metaPath= "./cfg/coco.data", showImage= True, makeImageOnly = False, initOnly= False): """ Convenience function to handle the detection and returns of objects. 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Returns ---------------------- When showImage is False, list of tuples like ('obj_label', confidence, (bounding_box_x_px, bounding_box_y_px, bounding_box_width_px, bounding_box_height_px)) The X and Y coordinates are from the center of the bounding box. Subtract half the width or height to get the lower corner. Otherwise, a dict with { "detections": as above "image": a numpy array representing an image, compatible with scikit-image "caption": an image caption } """ # Import the global variables. This lets us instance Darknet once, then just call performDetect() again without instancing again global metaMain, netMain, altNames #pylint: disable=W0603 assert 0 < thresh < 1, "Threshold should be a float between zero and one (non-inclusive)" if not os.path.exists(configPath): raise ValueError("Invalid config path `"+os.path.abspath(configPath)+"`") if not os.path.exists(weightPath): raise ValueError("Invalid weight path `"+os.path.abspath(weightPath)+"`") if not os.path.exists(metaPath): raise ValueError("Invalid data file path `"+os.path.abspath(metaPath)+"`") if netMain is None: netMain = load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1) # batch size = 1 if metaMain is None: metaMain = load_meta(metaPath.encode("ascii")) if altNames is None: # In Python 3, the metafile default access craps out on Windows (but not Linux) # Read the names file and create a list to feed to detect try: with open(metaPath) as metaFH: metaContents = metaFH.read() import re match = re.search("names *= *(.*)$", metaContents, re.IGNORECASE | re.MULTILINE) if match: result = match.group(1) else: result = None try: if os.path.exists(result): with open(result) as namesFH: namesList = namesFH.read().strip().split("\n") altNames = [x.strip() for x in namesList] except TypeError: pass except Exception: pass if initOnly: print("Initialized detector") return None if not os.path.exists(imagePath): raise ValueError("Invalid image path `"+os.path.abspath(imagePath)+"`") # Do the detection #detections = detect(netMain, metaMain, imagePath, thresh) # if is used cv2.imread(image) detections = detect(netMain, metaMain, imagePath.encode("ascii"), thresh) if showImage: try: from skimage import io, draw import numpy as np image = io.imread(imagePath) print("*** "+str(len(detections))+" Results, color coded by confidence ***") imcaption = [] for detection in detections: label = detection[0] confidence = detection[1] pstring = label+": "+str(np.rint(100 * confidence))+"%" imcaption.append(pstring) print(pstring) bounds = detection[2] shape = image.shape # x = shape[1] # xExtent = int(x * bounds[2] / 100) # y = shape[0] # yExtent = int(y * bounds[3] / 100) yExtent = int(bounds[3]) xEntent = int(bounds[2]) # Coordinates are around the center xCoord = int(bounds[0] - bounds[2]/2) yCoord = int(bounds[1] - bounds[3]/2) boundingBox = [ [xCoord, yCoord], [xCoord, yCoord + yExtent], [xCoord + xEntent, yCoord + yExtent], [xCoord + xEntent, yCoord] ] # Wiggle it around to make a 3px border rr, cc = draw.polygon_perimeter([x[1] for x in boundingBox], [x[0] for x in boundingBox], shape= shape) rr2, cc2 = draw.polygon_perimeter([x[1] + 1 for x in boundingBox], [x[0] for x in boundingBox], shape= shape) rr3, cc3 = draw.polygon_perimeter([x[1] - 1 for x in boundingBox], [x[0] for x in boundingBox], shape= shape) rr4, cc4 = draw.polygon_perimeter([x[1] for x in boundingBox], [x[0] + 1 for x in boundingBox], shape= shape) rr5, cc5 = draw.polygon_perimeter([x[1] for x in boundingBox], [x[0] - 1 for x in boundingBox], shape= shape) boxColor = (int(255 * (1 - (confidence ** 2))), int(255 * (confidence ** 2)), 0) draw.set_color(image, (rr, cc), boxColor, alpha= 0.8) draw.set_color(image, (rr2, cc2), boxColor, alpha= 0.8) draw.set_color(image, (rr3, cc3), boxColor, alpha= 0.8) draw.set_color(image, (rr4, cc4), boxColor, alpha= 0.8) draw.set_color(image, (rr5, cc5), boxColor, alpha= 0.8) if not makeImageOnly: io.imshow(image) io.show() detections = { "detections": detections, "image": image, "caption": "\n<br/>".join(imcaption) } except Exception as e: print("Unable to show image: "+str(e)) return detections if __name__ == "__main__": print(performDetect()) ```
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